Senior Data Scientist - Competitive Analytics

Socket.dev; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's CXBT BEAM team seeks a Senior Data Scientist to anchor Topline View of Retail. You will define metrics, build forecasting and causal models, and translate business questions into defensible, reproducible insights for senior leaders.

You will productionize models with data engineers, produce monthly reports and deep-dives, and lift analytic rigor while mentoring teammates on methodology and validation.

Qualifications

• Master's degree or above in a quantitative field, or PhD and 6+ years of data scientist experience.
• Experience applying statistical modeling and machine learning methods (e.g., regression, forecasting/time series, classification, clustering, causal inference) to business problems.
• Proficiency with data scripting and modeling languages (SQL and Python or R) and building analyses on large, messy datasets.
• Demonstrated experience defining metrics and KPIs from scratch and connecting them to business decisions.
• Experience communicating analytical and modeling results to senior, non-technical business audiences in writing.

Responsibilities

• Own the definition, methodology, and evolution of BEAM's competitiveness metrics (e.g., share-of-wallet, segment-level penetration, price/selection/fulfillment competitiveness), including the trade-offs behind each definition.
• Design, build, and validate statistical and machine learning models — forecasting, causal inference, segmentation, and anomaly detection — that power those metrics and surface competitive shifts.
• Pull together disparate third-party transaction-panel data and internal signals into coherent, reproducible modeling pipelines trusted for recurring reporting.
• Translate ambiguous business questions into the right metric, the right model, the right data cut, and a clear defensible answer.
• Productionize models and analyses so they run reliably as recurring mechanisms, partnering with data engineers to scale and automate.
• Produce monthly flash reports and deep-dive narratives that turn models and metrics into decisions for CXBT and leadership.
• Set the standard for analytical and modeling rigor on the team — methodology reviews, documentation, and guardrails against misleading cuts.
• Mentor and uplift other scientists and BIEs on the team — reviewing modeling approaches and strengthening methodology.

Job description

Amazon's CXBT BEAM team seeks a Senior Data Scientist to anchor Topline View of Retail. You will define metrics, build forecasting and causal models, and translate business questions into defensible, reproducible insights for senior leaders.

You will productionize models with data engineers, produce monthly reports and deep-dives, and lift analytic rigor while mentoring teammates on methodology and validation.