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# Data Scientist, Product Analytics (Brooklyn, NY (Hybrid) - 1128

- **Company:** Brain Trust, LLC
- **Location:** New York, NY, United States
- **Salary:** $166,400.0 - $178,880.0
- **Contract:** Temporary to permanent
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Cloud Database, Machine Learning, SQL Databases, Tableau (Software), Usage Analysis, Sql Optimization, Random Forest, Google Bigquery, Data Management, Claude, Looker Analytics
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a39ada1b867ee5b7

## About the Role

* 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).

Nice-to-Haves:

 * Direct experience analyzing logistics, supply chain, carrier performance, order resolution, or fulfillment incident metrics.
 * Experience working in a two-sided marketplace environment
 * Experience with causal inference and analytical ML modelling (regression, clustering, random forest, propensity score matching etc.)
 * Familiarity with clickstream data (visits, events etc.)
 * Familiarity with AI tools (Claude, cursor etc.)

## Description

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.