Senior Data Scientist

Posted 7 hours ago

This is a fully remote position, open to applicants in North America.

📋 Description

• Analyze user journeys, activation, engagement, retention, and monetization to pinpoint opportunities and suggest product enhancements.

• Design and assess A/B tests, which include formulating hypotheses, success metrics, guardrails, sample sizing, and interpretation.

• Convey uncertainty and differentiate between observed relationships and causal effects.

• Establish and uphold product metrics.

• Collaborate with Engineering to enhance instrumentation and verify data accuracy.

• Develop reusable analytical datasets and dbt models utilizing SQL.

• Work in conjunction with Data Engineering on Snowflake, Dagster, and ETL pipelines.

• Utilize Python for statistical analysis, modeling, and automation purposes.

• Integrate AI coding tools, such as Codex, Claude Code, and Cursor, into the workflow.

• Review and authenticate generated code, assumptions, and outcomes.

• Steer ambiguous challenges from initial inquiry through analysis, recommendations, and measurement.

• Communicate effectively, constructively challenge assumptions, and influence priorities across teams.


⛳️ Requirements

• Over 7 years of experience in data science, product analytics, or a related discipline.

• Strong grounding in statistics, encompassing probability, statistical inference, hypothesis testing, regression, and sources of bias and confounding.

• Practical experience in designing and analyzing A/B tests, which includes defining metrics, evaluating statistical power, verifying experiment validity, and translating results into actionable decisions.

• Advanced SQL proficiency.

• Strong expertise in Python for data exploration, statistical analysis, and reproducible analytical workflows.

• Familiarity with dbt, data modeling, and contemporary data platforms.

• Knowledge of orchestration tools like Dagster and ETL pipelines, their dependencies, and refresh schedules.

• Hands-on experience with AI coding tools such as Codex, Claude Code, or Cursor.

• Experience collaborating directly with product teams, preferably in consumer products.

• Capability to independently structure ambiguous issues, prioritize tasks, and communicate recommendations to both technical and non-technical stakeholders.

• A sense of curiosity, initiative, and a desire to learn new systems.

• Nice to have: Familiarity with Snowflake.

• Nice to have: Background in crypto, tokenized assets, finance, or fintech.


🏝️ Benefits

• Competitive salary and equity.

• Comprehensive insurance (medical/dental/vision): base plan fully covered.

• Flexible working hours and a long-established, supportive remote environment.

• Unlimited vacation policy.

• 401(k) retirement savings plan.

• Wellness stipend.

• Weekly meal stipend.

• Learning & Development stipend.

• Remote / WFH setup stipend.

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