
Senior Data Scientist
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in North America.
• 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.
• 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.
• 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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