Key job responsibilities
* Design, develop, and evaluate innovative ML models to solve diverse obstacles and opportunities across business teams.
* Listen to security and business teams to identify viable ML opportunities to improve mechanisms and help develop plans from experiments to proof-of-concept to software product.
* Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex production services.
* Rapidly design, prototype, and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment. Report results in a scientifically-oriented way.
* Collaborate with Artificial Intelligence/Machine Learning (AI/ML) peers to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world security and engagement delivery obstacles.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Support adoption of these to impact multiple teams and customers.
* Support the development of security guidance on the use of AI/ML, particularly generative AI.
A day in the life
You will collaborate extensively with cross-functional teams to drive innovative, data-driven solutions to support AWS business units. Review program data and metrics to help optimize. Meet with teams to ideate appropriate data analysis techniques for streamlining workflows, automating processes, and enabling data-driven decision-making across various SMGS Engagement Security programs. Report updates and insights from your work to leadership. Collaborate to develop comprehensive metrics and reporting, integrate data sources and design visualizations for actionable insights. Provide thought leadership through proof of concepts, blogs, presentations and white papers.
About the team
Amazon Web Services (AWS) is looking for world-class scientists to join the Sales, Market, and Global Services (SMGS) Engagement Security team. SMGS Engagement Security protects customers and the AWS business by developing and operating security mechanisms and services for SMGS. We provide directive security guidance, preventative security controls, detective security mechanisms, and responsive security services throughout customer-facing engagements and internal operations and we are accelerating our adoption of AI/ML. Our highly collaborative team is committed to each team member’s growth as our business and team grows.
ABOUT AWS:
Diverse Experiences
Amazon 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.
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 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.
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 and 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.
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
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- Experience in training and fine-tuning of Large Language Models (LLMs)
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience collaborating with business owners, understanding data assets, and recommending data analysis and data science techniques to improve the customer experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.