Senior Data Scientist, People Experience Foundation

3 weeks ago

Seattle, Washington, United States Amazon Full time

About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Amazon. As a Senior Data Scientist, you will be responsible for shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business.

Key Responsibilities

  • Partner with business stakeholders in formulating the business problem and providing recommendations on the approach
  • Understand customer behavior to personalize customer experience, build recommendation engines to provide relevant results to customers, customer lifecycle analysis and usage behavior
  • Conduct large scale A/B testing and offline/online experiments to evaluate performance of various programs and drive product improvements across partner teams
  • Process large scale datasets using distributed computing platform to build models, mining insights from data and prototyping models that optimize towards various business goals and metrics
  • Interact with cross-functional teams and make business recommendations i.e cost-benefit, forecasting, experiment analysis and present findings to leadership team
  • Driving product roadmap and prioritizations of science projects with the PMs to improve customer experience

About the Team

PXF builds the employee experiences that connect Amazonians, support them through their employment journey, and make Amazon Earth's Best Employer.

Our products include A to Z mobile application directly impacts the lives of associates by helping them identify the best shifts for their schedule, opportunities to pick up additional work, and choose when they get paid.

We enable Amazon employees to easily find and access high-quality and authoritative content throughout their employment lifecycle through content management and Search capabilities.

We also provide employees with a dynamic and ever-evolving learning experience to protect, prepare, and advance their careers.

Basic Qualifications

  • Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  • 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
  • 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

Preferred Qualifications

  • Experience managing data pipelines
  • Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
  • Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
  • Experience with statistical models e.g. multinomial logistic regression
  • Experience working with scientists, economists, software developers, or product managers
  • Experience working with data engineers and business intelligence engineers collaboratively

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

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

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