Remote Senior Data Scientist: AI, Analytics & Growth

Phantom; United States; A distancia; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary & equity

Insurance

Flexible hours

Unlimited vacation

401(k)

Wellness stipend

Meal stipend

Learning stipend

Remote setup stipend

Descripción de la vacante

Phantom is seeking an experienced Data Scientist to shape consumer products through rigorous analysis and experimentation. You will work with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions.

You will design and analyze A/B tests, define product metrics, and build scalable data pipelines using SQL, Python, dbt, Snowflake, and Dagster. This role emphasizes independent problem solving and cross-functional collaboration in a

Formación

• 7+ years of experience in data science, product analytics, or a related field.
• Strong foundation in statistics, including probability, inference, hypothesis testing, regression, and sources of bias.
• Experience designing and analyzing A/B tests with metrics and validity checks.
• Advanced SQL and Python for data exploration and reproducible workflows.
• Familiarity with dbt, data modeling, and modern data platforms; knowledge of Dagster and ETL pipelines.
• Hands-on experience using AI coding tools with the judgment to verify correctness and maintain quality.
• Experience partnering with product teams to understand behavior and drive activation, engagement, retention, or monetization.

Responsabilidades

• 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.
• 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.

Conocimientos

SQL

Python

A/B testing

Statistics

Product analytics

Data modeling

Cross-functional collaboration

Experimentation

Data engineering liaison

Herramientas

Snowflake

dbt

Dagster

ETL pipelines

Python tooling

Descripción del empleo

Phantom is seeking an experienced Data Scientist to shape consumer products through rigorous analysis and experimentation. You will work with Product, Engineering, Design, and Growth to understand user behavior, identify opportunities, and guide product decisions.

You will design and analyze A/B tests, define product metrics, and build scalable data pipelines using SQL, Python, dbt, Snowflake, and Dagster. This role emphasizes independent problem solving and cross-functional collaboration in a