Data Science

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Key job responsibilitiesWe are seeking an enthusiastic Data Scientist to:- Design and implement state-of-the-art solutions for never-before-solved problems. - Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. - Partner with technology and product leaders to solve business problems using scientific approaches. - Build new tools and invent business insights that surprise and delight our customers. - Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. - Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. - Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.A day in the lifeAs a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions). About the teamThe Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.BASIC QUALIFICATIONS- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience- 1+ year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field- 1+ year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Are you excited to help the US Intelligence Community design, build, and implement AI algorithms to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) methods. We build models for text, image, video, audio, and multi-modal use cases, using traditional or generative approaches to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.This position may require local travel up to 25%It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilitiesAs an Data Scientist, you will:- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge AI algorithms to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience- 3+ years of experience building models for business applications- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Do you like helping U.S.Federal agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success? Amazon Web Services (AWS) Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.We are looking for an experienced, self-driven Data Analytics Consultant. In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.• Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting.• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc.• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.• Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards those are used by senior leadership. • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.• Manage numerous requests concurrently and strategically, prioritizing when necessary• Partner/collaborate across teams/roles to deliver results.• Mentor other engineers, influence positively team culture, and help grow the team.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent ...

Amazon Advertising seeks the world’s brightest and best leaders to drive next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. Our mission is to offer the world’s most customer-centric advertising. Amazon DSP (ADSP) is our programmatic advertising product for campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, IMDb TV, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party (3P) websites and apps. We are seeking Data Engineer II who wants to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products give advertisers the controls and data necessary to improve the relevancy and performance of their ads.We are hiring a Data Engineer II to help us accelerate our efforts in delighting our Advertising customers. We consider our Data Engineers owners of the data to which they can propose, own, and then deliver on new product ideas. We expect this person to build new data platform solutions as an owner end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth.To be successful in this role, you should have broad skills in Infrastructure design, be comfortable dealing with large and complex data sets, have experience building near real-time and batch processing data pipelines. Must be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Key job responsibilities* Architect a scalable, reliable, and high-performing data processing pipeline on AWS. Leverage AWS services like EMR, Glue, Kinesis, S3, and Managed Airflow to build the data infrastructure. * Ensure the platform can efficiently handle the ingest, processing, and storage of massive data volumes.* Highly proficient in writing code in SQL and Python.* Develop optimized ETL/ELT pipelines to transform raw data into analytical datasets* Implement data partitioning, bucketing, and indexing strategies to enable high-performance queries* Work closely with data scientists, software engineers, product managers, and BIEs* Stay updated with the latest AWS services and data engineering best practicesAbout the teamThe ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.Key job responsibilities Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools• Build and deliver high quality data sets to support data scientists and customer reporting needs.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.About the teamDiverse Experiences:AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture:Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career Growth:We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance:We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Are you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process millions of records? Amazon Web Services is looking for a Data Engineer to help build a scalable, secured and robust data infrastructure that supports the AWS Infrastructure Services & Supply Chain Finance (AISSCF) organization. You will be part of the AISSCF Analytics team working with other Data Engineers, Business Intelligence engineers, Product managers and partner with finance/business stakeholders to achieve our goals.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. • Tune application and query performance using profiling tools and SQL. • Analyze and solve problems at their root, stepping back to understand the broader context. • Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. • Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment. • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Working at Amazon RoboticsAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that work passionately to apply cutting-edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Position OverviewThe Amazon Robotics (AR) Simulation organization builds simulation models and conduct simulation experiments to support a broad range of robotic solutions. We use the simulation-first approach to inform critical engineering and business decisions for the AR systems. We're looking for an experienced, self-directed, senior Data Scientist with a strong background in coding, statistical, and data mining techniques. You should have excellent problem-solving skills, strong communication skills, the ability to work autonomously, and an enthusiasm for leveraging data to drive meaningful business outcomes. Key job responsibilitiesAs a Senior Data Scientist on the team, you will play a crucial role in driving data-powered decision making. Your main focus will be* Collecting, creating and manipulating large, complex datasets to produce validated simulation inputs* Designing simulation experiments by considering the optimization targets, variable spaces and computational cost* Querying simulation outputs, generating metrics, and establishing robust data analysis frameworks to quantify the impact of the solutions* Creating compelling data visualizations to communicate system performance and identify improvement areas* Producing reports that suggests tradeoffs and informs decisions* Staying up to date with the best data tools to automate data workflows* Collaborating cross-functionally with software developers, domain experts, scientists and business stakeholders to understand the business goals, translate them into data-drive projects and deliver impactful results. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience ...

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world! Passionate about building, owning and operating massively scalable systems? Experienced in building and leading teams of highly competent software engineers? Want to make a billion-dollar impact? If so, we have an exciting opportunity for you. The AWS Managed Operations (MO) organization was founded in April 2023, with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability, reliability, latency, performance and efficiency to operate AWS regions. The Team: We're a small, innovative lab inside AWS working on reducing operational load and toil through long-term engineering projects. Our Data Science & Data Engineering teams harness the power of data science to identify operational trends across AWS to inform high-value investment decisions for our development teams to eliminate operational toil. This position requires that the candidate selected be a U.S. citizen.10012Key job responsibilities- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes, to inform system design- Data Modeling and Architecture: Develop robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility.- Data Pipeline Development: Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform.- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.- Develop & Hire the Best: Interview, mentor, and develop Data Engineers across the organization- Documentation & Continuous Improvement: Create, enhance, and maintain technical documentationAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 5+ years of data engineering, database engineering, business intelligence or business analytics experience- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence ...

The Data: Science & Engineering (D:SE) team at AWS Marketing is responsible for providing data-driven marketing technology solutions. The team owns the core ROI measurement, generative AI and Machine Learning, analytics and data pillars critical to AWS Marketing's success. We deliver the foundational data infrastructure powering all data products and services via our centralized data lake. We provide insights, tools, and methodologies to analyze performance and return on investment. Key tenets include impact-driven prioritization, favoring automation and self-service, relentless focus on data quality, and driving relevancy through AI/ML targeting and segmentation models. Our vision is to create an AI-powered, data-driven marketing technology ecosystem resulting in unparalleled efficiency, personalization, and measurable business impact. We are looking for an experienced Senior Product Manager- Tech (PMT) to lead the development and delivery of our data technology solutions. In this role, you will be responsible for identifying and implementing the necessary data infrastructure, analytics, and AI/ML capabilities to enable data-driven decision making and ROI optimization across AWS Marketing. Your key objectives will be to simplify our overall technology landscape, reduce operational complexity, and continue to support personalized, data-driven customer experiences. You will work closely with cross-functional teams to define the product roadmap, oversee the implementation, and ensure a seamless delivery that aligns with our core tenets around impact-driven prioritization, automation, and data quality.The Sr. PMT will be responsible for managing the lifecycle of products with significant impact. They will own and define the product strategy, feature design, technology approach, and roadmap priorities. They influence the strategic direction for both business and technology across the engineering organization. Their work spans tactical execution to strategic vision and planning. They drive alignment across stakeholders, make trade-off decisions, mentor others, and perform PMT assessments. A Sr. PMT has a strong technical understanding to assess technology impacts, recognize complex designs, evaluate emerging technologies, and ensure solutions meet scalability and innovation needs. Our environment is fast-paced. The ideal candidate will be a self-starter, endlessly curious, detail-oriented and highly organized. Strong communication skills (both oral and written) are critical.Key job responsibilities* You define product vision, strategy, and roadmap.* Partner with Engineering, User Experience, Personalization, Product Marketing, and other teams to align on a vision and execute on it.* You execute on the roadmap independently as a product owner, and through other Product Managers as needed.* You collaborate with engineering and business intelligence to deliver results.* You understand the technology behind what you build, and how it impacts the customer experience.* You roll-up your sleeves and do your own deep dives into data and research.* You help raise the bar on product management across the organization.About the teamThe Data: Science and Engineering team builds measurement products, AI/ML models for targeting and segmentation, and self-service insights capabilities to drive better performance and strategic decisions in AWS Marketing globally. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, improve data access and analytical self-service, deploy and test AI/ML-powered targeting models, and empower strategic decisions with business deep dives.ABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning ...

WW Installments is one of the fastest growing businesses within Amazon and we are looking for a Data Engineer to join the team to support Amazon Monthly Payment (AMP) product. This group has been entrusted with a massive charter that will impact every customer that visits Amazon.com. We are building the next generation of features and payment products that maximize customer enablement in a simple, transparent, and customer obsessed way. Our mission is to delight our customers by building payment experiences and financial services that are trusted, valued, and easy to use from anywhere in any way. You will be at forefront of innovation and have high visibility across Amazon businesses and leadership. Key job responsibilitiesThis role will be responsible for:- Design and implement data pipelines to support machine learning models and critical business initiatives of AMP product across North American, Europe and Japan. - Collaborate with peer group to build WW Installments data platform and solutions used by teams worldwide to access reporting, deep dives, and installment related insights. - Work closely with product managers, software development engineers, scientists and business intelligence engineer to develop and execute the AMP product roadmap.- Engage business stakeholders in constructive dialogues to convert business problems into data pipeline logic. Identify new opportunities to influence business strategy and product vision using data.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.- Establish and maintain best practices for the design, development, support of data integration solution, including documentation. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

This Data Engineering position is responsible for supporting the data pipelines & engineering needs for Alexa analytics and Machine Learning (ML) products. This Data Engineer will build and optimize logical data model and data pipelines for large, complex, datasets across a variety of Alexa analytics product(s), as well as be accountable for ongoing data quality, efficiency, testing, and maintenance. The Data Engineer should thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. They will influence large-size data solutions/access to dataset(s) within our team's architecture, advising product managers, program managers, and other engineers on trade-offs and courses of action.We are looking for a passionate data engineer to optimize the consumption of these very large data sources we require to generate unique insights. As a data engineering leader within Alexa, we look to you for design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work. You will share in the ownership of the technical vision and direction for advanced analytics and insight products. You will be a part of a team of top technical professionals developing complex systems at scale and with a focus on sustained operational excellence. Where needed, you integrate your team’s data solutions with those owned by other teams. You influence your team’s technical and business strategy by making insightful contributions to team priorities and overall data approach. You take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team bottlenecks the innovations of other teams. We are looking for people who are motivated by thinking big, moving fast, and changing the way customers use data to drive profitability. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.The Data Engineer we are looking for:- Has knowledge of recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). You are proficient in a broad range of data design approaches and know when it is appropriate to use them (and when it is not).- Knowledge of engineering and operational excellence best practices. Can make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).- Works with engineers to develop efficient data querying and modeling infrastructure.- Understands how to make appropriate data trade-offs. Can balance customer requirements with technology requirements. Knows when to re-use code. Is judicious about introducing dependencies.- Writing code that a Data Engineer or Software Development Engineer unfamiliar with the system can understand.- Can create coherent Logical Data Models that drive physical design.- Delivers pragmatic solutions. You do things with the proper level of complexity the first time (or at least minimize incidental complexity).- Understands how to be efficient with resource usage (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)- Collaboration with colleagues from multidisciplinary science, engineering and business backgrounds.- Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisionsAbout the teamOur team owns a self-service analytics platform used by Alexa & AGI developers to identify trends in Alexa performance, assess customer impact, and troubleshoot failure patterns. Our customers include: scientists building and debugging ML models, analysts and researchers measuring the customer experience, developers troubleshooting defects and failures, and data teams building business reports and visualizing metrics.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing ...

At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.Key job responsibilitiesAs a Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empowers OTS product teams with business critical metrics, develop systems and tools to ingest, process data from diverse data sources, data lakes, enable seamless data publish and subscribe, and self-service analytics for business metrics reporting. You will participate in automation of data governance processes and data quality monitoring, support data needs for AI/ML capabilities.A day in the lifeOn a day to day you will build and operate a highly scalable data mesh infrastructure, data lake that hosts OTS data and provide access through Data as a Product. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Apply your knowledge of LLM models to contribute to the development and implementation of machine learning solutions that address language translation-related challenges in the eCommerce space.* Collaborate with cross-functional teams, including senior scientists, software engineers, and product managers, to understand project requirements, map business goals to scientific problems, and help deliver high-quality solutions.* Conduct data analysis to identify patterns and insights, using reasonable assumptions and customer requirements to solve well-defined problems related to seller performance and customer experiences across international marketplaces.* Stay updated on current modeling techniques and methodologies, applying them under guidance to improve the accuracy and efficiency of language translation-related systems.* Communicate technical concepts clearly to team members and stakeholders, participating in discussions on proposed solutions and their potential impact.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into what's working across audiences, creatives, targeting strategies, and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance, unlocking improved return on ad spend. And advertisers reap the benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.Key job responsibilitiesYou will participate in driving features from idea to deployment, and your work will directly impact millions of customers.You are going to love this job because you will:Map business requirements and customer needs to a scientific problem.Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.Mentor and develop junior scientists and developers who work on science problems in the same organization.Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.About the teamThe Partner Science team’s vision is to drive the Advertising Partner flywheel by infusing science-based interventions at all stages of their journey with Amazon Ads including demand generation, partner selection, partner engagement, partner competition and innovation, ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative, experimental, and collaborative culture. BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Bachelor's degree- Experience with statistical models e.g. multinomial logistic regression ...

Global Logistics (GL) Analytics team's vision is to create a centralized data lake across GL to empower stakeholders to make data-driven decisions and derive insights.We are looking for a Data Engineer with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile, helping build a CI/CD infrastructure for scalable ETL pipelines used for business and operational performance on a daily basis. You will be working with Software Development teams in our organization to create a scalable framework for Data Instrumentation. Additionally, you will provide analytical support to BIEs, PMs, and other data roles. Design and develop data ingestion platforms that can handle large datasets at scale.Key job responsibilities- Manage and administer data platform built on AWS services such as Redshift, Kinesis, S3, Lambda etc- Develop and improve the current data architecture, data quality, monitoring and data availability- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers- Provide technical and thought leadership for Data Engineering and Business Intelligence within Global MileA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Science & Analytics Leader to help us assemble and execute against our team’s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term. We are seeking a Science & Analytics Leader to manage the development and application of methods to: examine the complex data flows of the Prime Video Advertising, translate deep-dives into actionable insights for our product teams; and build new tools and services in order to dynamically optimize the business with customers and advertisers. In this role, you and your teams will analyze our advertising-related data to enable sound business insights ongoing while also helping to improve the performance of our packaging and ad serving decisions. This will need to take into account advertiser demand and customer engagement expectations, desired targeting and relevance outcomes, and the adoption and impact of new ad product releases.Key job responsibilities• Analyze data trends regarding supply/demand optimization, ad load, and mix effects that affect advertiser objectives and customer experience. • Provide analysis to senior leaders on issues like business impact of new feature development, addressability or recognition rates, and changes of ad serving systems to improve monetization rate and customer experience - highlighting insights that will inform our business development and engineering roadmaps. • Formalize our approach to balancing CX and yield optimization by analyzing supply and demand patterns across multiple channels and products. • Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities. • Partner with engineering teams to define data logging requirements and get these prioritized in engineering roadmaps. • Validate financial models through analysis • Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives or low-touch insights.A day in the lifeThe Science & Analytics Leader will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights, as well as science-powered models for optimizing against those insights at scale. In addition, we will be looking for the candidate to attract and develop a high-impact, multi-functional data analytics team. About the teamThe Prime Video Advertising Science & Analytics team works in close alignment with PM, engineer, business, and sales teams to help achieve advertiser objectives against best-in-class customer ad experiences, and meaningfully improve financial performance. We pride ourselves for acting as owners of the areas we support, and thinking broadly about the impact that our analysis, audits, and models bring to the business. We are at our best when we understand not just the analytics components of our business, but also have deep business knowledge of customer needs and product operations.BASIC QUALIFICATIONS- Master’s degree or PhD in a field that has significant emphasis on quantitative methods such as statistics, or mathematical optimization - Solid business judgment capable of driving an organization to the right results with a focused, pragmatic, approach to data analytics - Experience operating successfully in a fast-paced, results-oriented environment, and having the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of alternatives- Close familiarity and understanding of RTB/DTB supply data including the systems and processes required to turn a bid request from a publisher into an ad seen by a person- Track record of mentoring and growing an impactful data analytics team ...

The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty of demand, pricing, promotions, supply, vendor lead times, and product life cycle. We optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices, promotions, similar products, and other data from our product catalog in order to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers both internally and externally.Key job responsibilitiesMajor responsibilities include: - Analysis of large amounts of data from different parts of the supply chain and their associated business functions - Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models - Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them - Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations - Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithmsA day in the lifeAs a Data Scientist in SCOT, you will be tasked to understand and work with cutting edge research to enable the implementation of sophisticated models on big data. As a successful data scientist in the SCOT team, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.BASIC QUALIFICATIONS- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 2+ years of data scientist experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Bachelor's degree- Experience applying theoretical models in an applied environment ...

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleData is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team. For this role, we're looking for an experienced product data scientist who will help develop the strategy and evaluate/improve product initiatives within our Creator product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our creators and their communities. Your input will be core to decision making across all major product strategies and initiatives that our team builds. You will work closely with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Creator organization. You Will- Inform product strategies by defining and updating core metrics for each initiative- Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders - Evaluate and forecast impact of product features on creators, viewers, and the entire Twitch ecosystem- Design A/B experiments to drive product direction with iterative innovation and measurement- Drive the team's analysis roadmap and prioritize the most valuable projects- Tackle complex and ambiguous analytic projects, resolve ambiguity and accurately identify the trade-offs between speed and quality and apply or route work as necessary- Dive deep into the data to understand how creator and viewer behaviors change with the evolution of our product- Act as our team's thought leader on best practices and move towards long-term vision of sustainable and thriving data processes - Own data collection and product instrumentation implementation and quality assurance- Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle- Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertaintyPerks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountAbout the teamTwitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. BASIC QUALIFICATIONS- BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience- 3+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Expert SQL skills and proficiency in Python/R- Experience using data to create insight, drive business decisions and influence leadership ...

Are you passionate about using science to build disruptive solutions that challenge the status-quo? Do you want to fundamentally redefine talent management and development for one of the largest and most complex workforce in the world? If you are, we want to talk to you.Key job responsibilitiesWe are looking for a Data Scientist generalist who can work with senior leadership and also partner with technical experts to deliver deliver best-in-class data science solutions for Amazon Talent. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. Finally, this person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.A day in the lifeIn this role you will closely partner with Amazon WW Stores, Finance, and HR leadership teams, and with various engineering, data, and science teams across the company. Your goal will be to discover best in class approaches to help better understand and forecast talent movement and enable your customers to derive actionable insights to inform talent strategies. You will develop scientific solutions grounded in rigorous experimentation and measurement to support the growth and mobilization of our workforce, and strategic organizational planning to ensure our talent is optimally positioned to capitalize on emerging business opportunities.About the teamThe Measurement & Insights team serves as the analytical backbone of Amazon Stores Talent Management, ensuring that Amazon Stores remains at the cutting edge of data-driven talent optimization in the rapidly evolving retail and e-commerce landscape. We focus on providing scientific insights to solve durable customer problems relating to talent optimization, organizational structure, and operating mechanisms. Our interdisciplinary science team with expertise in psychometric measurement, experimental and quasi-experimental research design, statistics, and machine learning, guide the metric design and scientific approaches, uncover blind spots, and provide proactive insights to address potential challenges and opportunities.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Amazon's WorldWide Grocery Stores Data & Analytics is seeking an experienced and proven Data Engineer (DE) to lead medium to large cross-functional strategic initiatives that support WWGS strategic goals. This is a unique opportunity for someone inspired by WWGS core values and is interested in Amazon’s high-growth grocery business to bring their whole self to the role.Key job responsibilitiesWe are seeking an experienced Sr. Data Engineer who will leverage their experience and talent to lead data integration, reporting, and analytics projects. This high impact role will be part of a team that will design and build our north star data infrastructure moving WWGDT away from our patchwork of 3p solutions. You will partner with other Data Engineers along with Software Developers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will use your organization skills, backbone, and high sense of ownership while collaborating with the rest of your team. You will have an opportunity to make a large impact on our modernized design, architecture, and development of data products. You will be a part of a data engineering team well versed in the legacy solutions and be asked to contribute to deliver on the future vision.A day in the lifeWork with your leadership to define and execute the data engineering strategy for WWGDT.Leverage SQL and coding skills (e.g., python, java, etc.) to extract, transform, and load data.Collaborate with internal and external teams to scope, design, build, and support data pipelines focusing on performance, cost, operational excellence, continuous improvement as well as delivering business value.Work within multiple technology stacks including working within custom built proprietary AWS framework to deliver data solutionsParticipate and lead standups and design sessions, maintain Jira health, and create artifactsLead and mentor your peersAbout the teamWe enable sophisticated, fact-based decision making across WWGS by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS and WholeFoods Market(WFM). You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work. Most importantly, you’ll be contributing to WFM's Higher Purpose of Nourishing People and the Planet!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...