Sr. Data Scientist, Selling Partner Development Science

Seattle, Washington, USA

Full Time Senior-level / Expert
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Job summary
Join us in the evolution of Amazon’s consumer business!

The Brand Program and Selling Partner Development organization is the growth and development engine for our Store. Our business grows when our Selling Partners (SPs) businesses’ grow. We aspire to make Amazon the best place for Selling Partners to sell and measure our progress towards this goal through a combination of metrics. We make it easy and predictable for Selling Partners to achieve a great Customer Experience. We believe all motivated Selling Partners that provide a great Customer Experience should be able to grow their business on Amazon either guided by unambiguous self-service tools or by a named Account Manager (AM) working from the same set of recommendations and insights. By ensuring that the same set of recommendations and insights are used, we democratize growth, increase predictability and build trust with our SPs. Our front line AMs drive a virtuous flywheel of learning, experimentation, development and scale that accelerates our store and improves the Customer Experience.

We have numerous, durable, deep, technical and interesting problems for Sr. Data Scientist to own. We are looking for a Sr. Data Scientist to design and implement deep tools, insights, metrics and models (inclusive of AI) to lead our systems and tools. You will work with a range of strategic functions within the consumer organization. Our broader org. certainly embodies a start-up mentality. You will work closely with data engineers, software developers, product managers to come up with solution end-to-end with cutting edge machine learning and AI technologies.

Basic Qualifications


· 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 4+ years working as a Data Scientist
· Master’s degree (or Bachelor's degree + 8 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Engineering, or Computer Science, etc
· 5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and machine learning
· 5+ years of experience using data querying languages (e.g. SQL), scripting languages e.g. Python, or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
· Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data.
· An ability and interest in working in a fast-paced and rapidly-changing environment
· Excellent communication skills. Proven ability to communicate verbally and in writing to technical peers and business teams, educating them about our systems, as well as sharing insights and data-driven recommendations
· Be comfortable with ambiguity and curious to learn new skills

Preferred Qualifications

· 7+ years’ experience in a ML or Data Scientist role with a large company.
· Ability to identify the business problem, translate into the appropriate data science problem, and deliver end to end solution
· Ability and experience with test & learn to improve data science solution with iterative manners.
· Extensive knowledge and practical experience in machine learning areas, including reinforcement learning.
· Functional knowledge of AWS platforms such as S3, Glue, Athena, SageMaker
· Track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment



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.

Job region(s): North America
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