Data Science Manager

Seattle, Washington, USA logo

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Job summary

At Amazon, we're working to be the most customer-centric company on Earth. We work hard to carry products that our customers want and enjoy, while ensuring that customers get safe products from Amazon. To get there we need exceptionally talented, bright, dynamic, and driven people. If you'd like to help us build an environment where our customer’s safety is paramount, where we enable our customers to find and buy anything online, and where we work to maintain and enhance customer trust in Amazon, then this is your chance to be part of a fast-paced and strategic data team.

We are looking for experienced hands-on Data Science Manager with strong quantitative analysis and big data skills. This role will report into the central data team that enables and supports Amazon’s Product Assurance, Risk and Security (PARS) team. Our team is responsible for creating org-wide core analytics tech capabilities and data platforms solutions. Our analytical solutions span across all of Amazon’s consumer and retail business such as, Amazon Private Brands, Amazon Go, Whole Foods, Amazon Devices, Amazon’s third-party fulfillment business, etc. The Data Science manager will work closely with a team of data engineers, software engineers, business intelligence engineers, product managers, applied scientists and economists to help extract insights from data to ensure customers get safe products from Amazon.

Key job responsibilities
• Manage a team of data scientists, identify opportunities and develop data science strategies.
• Translate business questions and concerns into specific analytical questions that can be answered with available data using statistical methods.
• Apply Statistical and Machine Learning methods to specific business problems and data.
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
• Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
• Work with engineers to develop efficient data querying and modeling infrastructure.
• Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
• Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.

Basic Qualifications

• Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).
• 8+ years of experience working in a data science capacity, ideally in the tech or consumer industry.
• Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track.
• Evidence of doing or directing science work with high positive impact on business outcomes.
• Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track.
• Management experience for working on cross-functional projects.
• Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, that have been successfully integrated in production systems or informed policy decisions.
• Proficient with SQL and at least one scripting language (e.g., R, Python).
• Demonstrable expertise in research design methodologies (e.g., experiments, quasi-experiments, surveys, sampling methods, etc).

Preferred Qualifications

• A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 10+ years of experience working in data science in a consumer product company
• 5+ years of experience managing data scientists or similar roles.
• Experience with AWS technologies like Redshift, S3, Sagemaker, EC2, Data Pipeline, & EMR.

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

Job region(s): North America
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