Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically - backed natural bone - loss solution. Transforming data into strategies that improve efficiency, sales, and profitability.
About the role
- Senior Data Scientist shaping consumer products at Phantom, a global open-markets fintech company. Analyzing behavior, experimentation, and metrics to guide product decisions.
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
- Partner with Engineering to improve instrumentation and validate data
- Build reusable analytical datasets and dbt models using SQL
- Collaborate with Data Engineering on Snowflake, Dagster, and ETL pipelines
- Use Python for statistical analysis, modeling, and automation
- Incorporate AI coding tools such as Codex, Claude Code, and Cursor into the workflow
- Review and validate generated code, assumptions, and results
- Lead ambiguous problems from initial question through analysis, recommendation, and measurement
- Communicate clearly, challenge assumptions constructively, and influence priorities across teams
Requirements
- 7+ years of experience in data science, product analytics, or a related field
- Strong foundation in statistics, including probability, statistical inference, hypothesis testing, regression, and sources of bias and confounding
- 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
- 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 ETL pipelines, dependencies, and refresh schedules
- Hands-on experience using AI coding tools such as Codex, Claude Code, or Cursor
- Experience partnering directly with product teams, ideally on consumer products
- Ability to independently structure ambiguous problems, prioritize work, and communicate recommendations to technical and nontechnical partners
- Curiosity, initiative, and willingness to learn unfamiliar systems
- Nice to have: Experience with Snowflake
- Nice to have: Experience with crypto, tokenized assets, finance, or fintech
Benefits
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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