Senior Data Scientist

United States of AmericaRemoteSenior

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

As a Data Scientist at Phantom, you’ll help shape our consumer products through rigorous analysis, experimentation, and reliable data. You’ll work closely with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions.

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 and strong proficiency in Python 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 how ETL pipelines, dependencies, and refresh schedules affect downstream analysis.
Hands-on experience using AI coding tools such as Codex, Claude Code, or Cursor in your regular workflow, with the judgment to verify correctness and maintain code quality.
Experience partnering directly with product teams, ideally on consumer products, to understand behavior and improve activation, engagement, retention, or monetization.
Ability to independently structure ambiguous problems, prioritize work, and communicate recommendations to technical and nontechnical partners.
Curiosity, initiative, and a willingness to learn unfamiliar systems and follow through on useful work.

Nice to Have

Experience working with Snowflake, including querying large datasets and understanding query performance and cost.
Experience with crypto, tokenized assets, finance, or fintech.

Why Work With Us

Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.

Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.

Benefits (only available to full-time employees)

Competitive salary and equity
Comprehensive insurance (medical/dental/vision): base plan 100% covered
Flexible hours and a long-standing, supportive remote environment
Unlimited vacation: Take time when you need it (and we really mean it!)
401(k) retirement plan
Wellness stipend
Weekly meal stipend
Learning & Development stipend
Remote / WFH set-up stipend

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 and strong proficiency in Python 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 how ETL pipelines, dependencies, and refresh schedules affect downstream analysis.

Hands-on experience using AI coding tools such as Codex, Claude Code, or Cursor in your regular workflow, with the judgment to verify correctness and maintain code quality.

Experience partnering directly with product teams, ideally on consumer products, to understand behavior and improve activation, engagement, retention, or monetization.

Ability to independently structure ambiguous problems, prioritize work, and communicate recommendations to technical and nontechnical partners.

Curiosity, initiative, and a willingness to learn unfamiliar systems and follow through on useful work.

Nice to Have

Experience working with Snowflake, including querying large datasets and understanding query performance and cost.

Experience with crypto, tokenized assets, finance, or fintech.

Why Work With Us

Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.

Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.

Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.

Benefits (only available to full-time employees)

Competitive salary and equity

Comprehensive insurance (medical/dental/vision): base plan 100% covered

Flexible hours and a long-standing, supportive remote environment

Unlimited vacation: Take time when you need it (and we really mean it!)

401(k) retirement plan

Wellness stipend

Weekly meal stipend

Learning & Development stipend

Remote / WFH set-up stipend

Senior Data Scientist

Responsibilities

Qualifications

Nice to Have

Senior Data Scientist

Responsibilities

Qualifications

Nice to Have

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