Data Scientist: End-to-End Analytics, Product Impact, Equity

Game Devs of Color; New York (NY); On-site; USD 140,000 - 240,000; Full time

Benefits offered by this job

Equity

Job summary

Game Devs of Color is seeking a data‑driven professional to lead product analytics and experimentation in New York. You’ll own the end‑to‑end analytics stack, shape the roadmap, and drive KPI reporting that informs product and business decisions.

Expect a fast‑paced, high‑ownership environment focused on actionable insights that impact pricing, retention, and growth. You will collaborate with business and product leadership, design advanced experiments, and evangelize data across teams.

Qualifications

• 3–5 years of experience managing and researching product analytics.
• Applied statistics depth: regression, experimental design, and causal inference.
• Experience with event-level data and data warehouse tools like BigQuery, Snowflake, or Airflow.

Responsibilities

• Design and analyze experiments end-to-end, including sample size and readouts.
• Configure multi-test pipelines and perform causal analysis when clean A/B tests aren’t possible.
• Own analytics instrumentation strategy and KPI reporting; collaborate with front-end engineers for telemetry.
• Communicate insights with confidence intervals and effect sizes; inform planning and roadmaps.
• Contribute to pricing analytics, willingness-to-pay, and offer testing in upsells and bundles.
• Act as data backbone for industry and brand thought leadership through publications.

Skills

SQL

Python

R

Education

Master’s degree in statistics

Tools

Amplitude

Tableau

Job description

Game Devs of Color is seeking a data‑driven professional to lead product analytics and experimentation in New York. You’ll own the end‑to‑end analytics stack, shape the roadmap, and drive KPI reporting that informs product and business decisions.

Expect a fast‑paced, high‑ownership environment focused on actionable insights that impact pricing, retention, and growth. You will collaborate with business and product leadership, design advanced experiments, and evangelize data across teams.