Data Scientist, PBI Selection Guidance Expert

3 weeks ago

Seattle, Washington, United States Amazon Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Private Brand Intelligence (PBI) team at Amazon. As a Data Scientist, you will play a key role in building data science-driven solutions at scale to delight our customers with products across our leading private brands.

Key Responsibilities:

  • Develop and implement scalable machine learning and econometric models to drive strategic business decisions and improve operations.
  • Collaborate with business leaders and economists to translate business and functional requirements into concrete deliverables.
  • Design, develop, test, and deploy highly scalable distributed solutions.
  • Work closely with scientists, economists, engineers, and product managers to incubate and build day-one solutions using cutting-edge technology.

Requirements:

  • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  • 4+ years of data scientist experience.
  • 5+ years of experience with data querying languages, scripting languages, or statistical/mathematical software.
  • Knowledge of AWS tech stack.
  • Experience documenting modeling for technical and business leaders.
  • Experience working with scientists, economists, software developers, or product managers.

Preferred Qualifications:

  • Experience as a leader and mentor on a data science team.
  • 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc.
  • Experience managing data pipelines.
  • Hands-on experience with designing and analyzing large-scale A/B tests and working knowledge of causal inference models.

About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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