Phantom
Senior Data Scientist
4 дн. назад
Страна неизвестнаSeniorRemote
sqlpythondbtdagstersnowflakestatistical inferencea/b testingetl
As a Data Scientist at Phantom, you will analyze user behavior and guide product decisions by working closely with multiple teams using data-driven approaches and AI coding tools.
Обязанности
- 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
Требования
- 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
Будет плюсом
- Experience working with Snowflake, including querying large datasets and understanding query performance and cost
- Experience with crypto, tokenized assets, finance, or fintech
Условия
- Формат работы: удалённо