Senior Data Scientist, International Product Management at Amazon Web Services, Inc.
Lynnwood, WA 98036
About the Job
Amazon Web Services (“AWS”) is looking for an outstanding Senior Data Scientist to join the AWS International Product Management and Expansion Strategy team. This is your opportunity to be a core part of the AWS team that has a direct impact on global strategic planning and decision-making.
Today, AWS serves customers globally from over 190 countries through multiple infrastructure Regions. From these Regions, AWS offers over 200 fully featured cloud services which redefine business agility, reduce the cost of IT infrastructure, and elevate the role of IT as an enabler of business organizations.
As a Senior Data Scientist on this team, you will get an exciting opportunity to structure and solve challenging business problems that help develop long-term growth strategies for AWS’s international business. We are looking for a seasoned professional with strong experience with operations research and/or AI/machine learning especially those with experience in seeking deep insights around customer adoption patterns globally. In this role, you will study patterns and structure models to quickly approach ambiguous problems with mathematical models that drive the adoption of AWS long-term to meaningfully impact AWS’s growth. To support their proposals, candidates should be able to mine large data sets independently, analyze patterns with any necessary programming and statistical techniques in a fast-paced environment. You will work closely with the business and technical teams to analyze many non-standard and unique business problems, and innovate with creative-problem solving to deliver actionable output to stakeholders.
A successful candidate will be a self-starter, comfortable with ambiguity, with a working knowledge of cloud technology, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, a penchant to explain findings backed by sound statistical techniques, synthesize the business impact of findings, and have an ability to collaborate as well as effectively influence cross-functional teams. Come help us make history!
Key job responsibilities
The key strategic objectives of this role include, but are not limited to:
• Lead logical thinking to quickly turn high level ambiguous business problems into mathematical models
• Help identify causal elements behind business trends to drive solution approaches that will let AWS expand faster internationally
• Provide thought leadership to identify new correlations between emerging technology trends and global customer adoption to establish intuitive, but authoritative models that forecast or estimate impact to the business
• Answer complex business questions around downstream impact and customer adoption patterns with statistical techniques/business rigor
• Work with regional strategy managers to distill business trends unique to geographies
• Develop Excel/Python/AWS AI/ML tool-based models to provide user friendly insights for business stakeholders and provide short- or long-term business projections that reflect cloud computing adoption
About the team
About AWS
Diverse Experiences
AWS 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 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 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.
- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 2+ years of demonstrated experience with problem solving, algorithm design and complexity analysis
- 5+ years of recent experience in scripting languages like Python, Perl, Rust
- Proficiency in problem scoping, model development, model validation and model implementation into production
- Experience coding with other high-level languages like Java/C++
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
- Experience with tools such as AWS Bedrock/Sagemaker for Model Architecture and Optimization, Application Integration, and Orchestration.
- Experience as a Business/Financial Analyst or Systems Analyst in a company with large, complex data sources
- Experience in developing data driven insights with multinomial regression models, strategic frameworks, causal inference, and performance tracking mechanisms
- Experience working across functional teams and senior stakeholders
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience with AWS services including S3, Redshift, EMR and Apache Spark
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.
Today, AWS serves customers globally from over 190 countries through multiple infrastructure Regions. From these Regions, AWS offers over 200 fully featured cloud services which redefine business agility, reduce the cost of IT infrastructure, and elevate the role of IT as an enabler of business organizations.
As a Senior Data Scientist on this team, you will get an exciting opportunity to structure and solve challenging business problems that help develop long-term growth strategies for AWS’s international business. We are looking for a seasoned professional with strong experience with operations research and/or AI/machine learning especially those with experience in seeking deep insights around customer adoption patterns globally. In this role, you will study patterns and structure models to quickly approach ambiguous problems with mathematical models that drive the adoption of AWS long-term to meaningfully impact AWS’s growth. To support their proposals, candidates should be able to mine large data sets independently, analyze patterns with any necessary programming and statistical techniques in a fast-paced environment. You will work closely with the business and technical teams to analyze many non-standard and unique business problems, and innovate with creative-problem solving to deliver actionable output to stakeholders.
A successful candidate will be a self-starter, comfortable with ambiguity, with a working knowledge of cloud technology, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, a penchant to explain findings backed by sound statistical techniques, synthesize the business impact of findings, and have an ability to collaborate as well as effectively influence cross-functional teams. Come help us make history!
Key job responsibilities
The key strategic objectives of this role include, but are not limited to:
• Lead logical thinking to quickly turn high level ambiguous business problems into mathematical models
• Help identify causal elements behind business trends to drive solution approaches that will let AWS expand faster internationally
• Provide thought leadership to identify new correlations between emerging technology trends and global customer adoption to establish intuitive, but authoritative models that forecast or estimate impact to the business
• Answer complex business questions around downstream impact and customer adoption patterns with statistical techniques/business rigor
• Work with regional strategy managers to distill business trends unique to geographies
• Develop Excel/Python/AWS AI/ML tool-based models to provide user friendly insights for business stakeholders and provide short- or long-term business projections that reflect cloud computing adoption
About the team
About AWS
Diverse Experiences
AWS 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 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 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
- Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 2+ years of demonstrated experience with problem solving, algorithm design and complexity analysis
- 5+ years of recent experience in scripting languages like Python, Perl, Rust
PREFERRED QUALIFICATIONS
- Advanced degrees (e.g., MS, PhD) in engineering, statistics, computer science, operations research, business analytics, information systems, business administration, or equivalent- Proficiency in problem scoping, model development, model validation and model implementation into production
- Experience coding with other high-level languages like Java/C++
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
- Experience with tools such as AWS Bedrock/Sagemaker for Model Architecture and Optimization, Application Integration, and Orchestration.
- Experience as a Business/Financial Analyst or Systems Analyst in a company with large, complex data sources
- Experience in developing data driven insights with multinomial regression models, strategic frameworks, causal inference, and performance tracking mechanisms
- Experience working across functional teams and senior stakeholders
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience with AWS services including S3, Redshift, EMR and Apache Spark
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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.
