Sr. Data Scientist, Field Engineering

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Data Center Field Engineering Team is the engineering owner for the lifecycle of AWS data center mechanical and electrical infrastructure. This includes supporting new designs and innovations through data center end-of-life with a focus on root cause analysis of failures capacity and availability improvement and optimization of the existing fleet.

As a Senior Data Scientist on the Field Engineering Portfolio team you will bring advanced analytical and machine learning capabilities to one of the most critical infrastructure organizations at AWS. You will develop scalable models and data-driven frameworks that measure predict and improve fleet performance including data center availability operational efficiency and key performance indicators (KPIs) across the global AWS data center fleet.

You are an exceptionally strong communicator both written and verbally capable of translating complex quantitative findings into clear recommendations for senior engineering and business leadership. You will work cross-functionally with Field Engineers Operations Commissioning and Construction teams to ensure that data science solutions are grounded in operational reality and drive measurable impact.

You will partner with engineering teams and program managers to define metrics identify performance gaps and build the analytical infrastructure needed to support strategic decisions at hyper-scale. You must be adept at operating in ambiguous fast-moving environments where speed of insight can matter as much as analytical precision.

The ideal candidate brings strong problem-solving skills stakeholder communication skills and the ability to balance technical rigor with delivery speed and customer impact. You will develop scalable analytical approaches to evaluate performance across the data center fleet to identify regional and site-specific insights design and run experiments and shape our development roadmap. You will build cross-functional support within the Data Center Community to assess business problems define metrics and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps.


Key job responsibilities
Develop and maintain scalable models and analytical frameworks to measure and predict data center fleet performance including availability efficiency and reliability KPIs across the global AWS infrastructure portfolio.
Apply advanced statistical and machine learning techniques to extract actionable insights from complex large-scale operational datasets generated by data center systems (power cooling controls etc.).
Partner with Field Engineers Operations and Portfolio Managers to identify high-impact opportunities for capacity and availability improvement translating engineering domain knowledge into quantitative problem formulations.
Design and implement end-to-end data science workflows from data acquisition and cleaning through model development validation and production deployment enabling repeatable scalable analysis.
Formalize assumptions about how data center systems are expected to perform and develop methods to systematically identify deviations root causes and high-ROI improvement opportunities.
Build self-service datasets dashboards and reporting mechanisms that provide Field Engineering leadership with real-time visibility into fleet health and portfolio performance.
Prepare narratives and data-driven recommendations for executive leadership that articulate decision points relative to fleet investment risk trade-offs and strategic priorities.
Collaborate with applied science software engineering and data engineering teams to ensure models integrate seamlessly with upstream and downstream systems.


About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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 or similar role involving data extraction analysis statistical modeling and communication experience
- Masters degree in a quantitative field such as Statistics Mathematics Data Science Business Analytics Economics Engineering or Computer Science; OR Bachelors degree and 8 years of professional experience in a quantitative role.

- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience documenting modeling for technical and business leaders
- Experience working with data engineers and business intelligence engineers collaboratively
- Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
- Experience developing operational processes and data insights
- Experience with anomaly detection predictive maintenance or reliability modeling in industrial or infrastructure contexts.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA San Francisco - 183000.00 - 247600.00 USD annually
USA WA Bellevue - 159200.00 - 215300.00 USD annually
USA WA Seattle - 159200.00 - 215300.00 USD annually