Data Scientist
JOB Location: New York, ( Remote)
JOB DESCRIPTION
Job Role :
• In this role, you will be the core analytics partner to our Fulfillment ML, Product, and Operations teams. You will assess delivery ML model performance, analyze end-to-end buyer delivery experiences, and evaluate controlled experiments to measure real-world impact on buyer and seller lifetime value (LTV).
• Advanced Analytics & Experimentation: Partner with ML engineers, operations leads, and product managers to identify model optimization opportunities and evaluate the impact of new features, through randomized A/B testing and offline causal analysis.
• Ad-Hoc Analysis & Exploration: Query, model, and interpret large-scale data in Google BigQuery to answer critical business questions and support strategic roadmapping.
• Metric Frameworks & Data Accessibility: Design, build, and maintain robust SQL data rollups and aggregations to ensure reliable, high-quality data sources for reporting and cross-team consumption.
• Dashboards & Visualization: Create and manage interactive Looker dashboards to track key performance indicators (e.g., on-time delivery, fulfillment friction, resolution rates) and share trends with leadership.
• Cross-Functional Collaboration: Translate complex model behaviors and analytical findings into clear strategic recommendations for non-technical stakeholders.
Responsibilities:
• Strong background in experimental design, A/B testing, and hypothesis-driven statistical analysis.
• Proven experience building production-ready dashboards and data models in Looker (or similar BI tools like Tableau).
• Advanced SQL proficiency, specifically with cloud data warehouses (e.g., Google BigQuery).
Required skills:
• SQL and Looker / Tableau, Experimentation and A/B testing, Product Analytics
Base pay range : USD $121,000 - USD $ 138,000 annually. This range reflects Total salary only - it excludes benefits - and is a good-faith estimate for this level and location that may vary based on experience, skills, and where the role is performed.
Communication : This role requires fluent spoken and written English to communicate directly with client stakeholders - a job-related requirement of the client-facing work itself, not of any candidate's background or origin.
