Phantom is hiring a Senior Data Scientist to shape consumer products through rigorous analysis, experimentation, and reliable data. You will work with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions.

Responsibilities:

  • Analyze user journeys, activation, engagement, retention, and monetization, and recommend product improvements.
  • Design and evaluate A/B tests, including hypotheses, success metrics, guardrails, sample sizing, and interpretation. Communicate uncertainty and distinguish observed relationships from causal effects.
  • Define and maintain product metrics, improve instrumentation, and validate data with Engineering.
  • Build reusable analytical datasets and dbt models using SQL. Collaborate with Data Engineering on Snowflake, Dagster, and ETL pipelines to improve data quality and support analysis.
  • Use Python for statistical analysis, modeling, and automation, keeping work reproducible, documented, and maintainable.
  • Incorporate AI coding tools such as Codex, Claude Code, and Cursor into the workflow; review and validate generated code, assumptions, and results.
  • Lead ambiguous problems from initial question through analysis, recommendation, and measurement; communicate clearly and influence priorities across teams.

Requirements:

  • 7+ years of experience in data science, product analytics, or a related field, with a record of influencing product decisions.
  • Strong foundation in statistics, including probability, statistical inference, hypothesis testing, regression, bias, and confounding; ability to explain methods, assumptions, and limitations.
  • Practical experience designing and analyzing A/B tests, defining metrics, assessing statistical power, checking experiment validity, and translating results into decisions.
  • Advanced SQL skills and strong Python proficiency for data exploration, statistical analysis, and reproducible analytical workflows.
  • Working knowledge of dbt, data modeling, and modern data platforms; familiarity with orchestration tools such as Dagster and ETL pipelines.
  • Regular hands-on experience with AI coding tools and the judgment to verify correctness and maintain code quality.
  • Experience partnering directly with product teams, ideally on consumer products, to improve activation, engagement, retention, or monetization.
  • Ability to structure ambiguous problems, prioritize work, and communicate recommendations to technical and nontechnical partners.
  • Curiosity, initiative, and willingness to learn unfamiliar systems.

Nice to have: Experience with Snowflake, including large datasets, query performance, and cost; experience with crypto, tokenized assets, finance, or fintech.

Work format: Remote.