Senior Data Scientist

Phantom; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Phantom is a fully remote fintech platform enabling access to global markets. We seek a senior data scientist/product analytics leader to influence product decisions through rigorous analysis of activation, engagement, retention, and monetization.

You will design experiments, build scalable datasets, and collaborate with engineering to improve instrumentation. Using Python and SQL, you’ll drive insights, validate results, and ensure reproducibility while leveraging Snowflake, Dagster, and dbt

Qualifications

• 7+ years of experience in data science, product analytics, or a related field with influence on product decisions.
• Strong foundation in statistics and ability to explain methods, assumptions, and limitations.
• Practical experience designing and analyzing A/B tests with metrics, power, and interpretation.
• Advanced SQL skills.

Responsibilities

• Analyze user journeys, activation, engagement, retention, and monetization to identify opportunities 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, and partner with Engineering to improve instrumentation and validate the data behind them.
• 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. Make your work reproducible, documented, and maintainable.
• Incorporate AI coding tools such as Codex, Claude Code, and Cursor into your workflow to accelerate development and analysis. Review and validate generated code, assumptions, and results.
• Independently lead ambiguous problems from initial question through analysis, recommendation, and measurement. Communicate clearly, challenge assumptions constructively, and influence priorities across teams.

Skills

Product analytics

Statistics

A/B testing

SQL

Python

Data modeling

Tools

Snowflake

Dagster

dbt

ETL

Job description

Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 and CNBC and Statista's World's Top Fintech Companies 2026! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.

Responsibilities

• Analyze user journeys, activation, engagement, retention, and monetization to identify opportunities 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, and partner with Engineering to improve instrumentation and validate the data behind them.
• 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. Make your work reproducible, documented, and maintainable.
• Incorporate AI coding tools such as Codex, Claude Code, and Cursor into your workflow to accelerate development and analysis. Review and validate generated code, assumptions, and results.
• Independently lead ambiguous problems from initial question through analysis, recommendation, and measurement. Communicate clearly, challenge assumptions constructively, and influence priorities across teams.

Qualifications

• 7+ years of experience in data science, product analytics, or a related field, with a demonstrated record of influencing product decisions.
• Strong foundation in statistics, including probability, statistical inference, hypothesis testing, regression, and sources of bias and confounding. Ability to select appropriate methods and explain their assumptions and limitations.
• Practical experience designing and analyzing A/B tests, including defining metrics, assessing statistical power, checking experiment validity, and translating results into decisions.
• Advanced SQL skills