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Job Description

Amazon is hiring a Data Scientist for IMDb Insights and Analytics in Pittsburgh, PA to turn business questions into measurable, responsible machine learning outcomes.

Key responsibilities

  • Translate loosely defined business problems into science problems and iterate on the approach with limited guidance
  • Establish ground truth by designing sampling, defining a label quality bar, and building datasets across behavioral, text, and catalog domains
  • Define and evaluate precision, recall, and coverage, including reporting what accuracy is achievable at a given cost
  • Document failure modes, quantify the cost of each error type, and set thresholds with product and policy partners prior to deployment
  • Deliver methodology and analysis on medium-size projects in a format that other scientists and business partners can act on
  • Decide whether to train in-house, fine-tune, or call a language model based on evidence
  • Use generative AI tooling to scale personal throughput, not only to build end products
  • Ship solutions that another scientist can test and reproduce
  • Partner with engineers to move models into production, then define drift monitoring and retraining triggers
  • Build deep knowledge of the team’s owned areas and mentor teammates on method choice

Requirements

  • 4+ years experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
  • 3+ years in a data scientist or similar role with data extraction, analysis, statistical modeling, and communication
  • 3+ years experience using machine learning/statistical modeling tools and techniques, including parameters that affect performance
  • Bachelor’s degree
  • Experience applying theoretical models in an applied environment
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving

Technologies

  • SQL
  • Python
  • R
  • SAS
  • Matlab
  • Language model
  • Generative AI tooling

Location and compensation

  • Location: Pittsburgh, PA (onsite)
  • Salary: USD 136,000 - 184,000 per year
  • Minimum experience: 3 years

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance
  • Option for Supplemental life plans
  • EAP
  • Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave

A day in the life

  • Most of the week focuses on modeling and measurement, including pulling data, building features, running evaluations, and discussing thresholds with evidence rather than opinion
  • AI tooling is used to handle repetitive work so you can focus on the core science
  • Remaining time goes to collaboration with product managers, policy partners, and the operations team who use model outputs daily
  • With a small team, responsibilities span multiple problem areas rather than a single ownership area

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