Clair

3 weeks ago

Product Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Own Clair’s experimentation and analytics layer that shapes product and underwriting decisions. Design, execute, and analyze A/B tests across underwriting and product experiences, define success metrics, and translate results into actionable business recommendations. Standardize product and financial metrics, build forecasting frameworks, and ensure decisions are grounded in unit economics. Partner with Product, Finance, Risk, and Engineering to evaluate trade-offs and guide data-driven development.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own and manage Clair’s experimentation ecosystem, including design, execution, and analysis of A/B tests across underwriting and product experiences.
•Translate model outputs (e.g., risk scores) into actionable business decisions such as approval thresholds and lending strategies.
•Serve as the single source of truth for all experiments, ensuring consistency, rigor, and proper interpretation of results.
•Design experiments to evaluate key levers like credit limits, accrual mechanisms, and pricing, and quantify impacts on growth and risk.
•Define and standardize core product and financial metrics, and partner with Product, Finance, Risk, and Engineering to inform decision-making.

Pay and Benefits

Salary: USD 190,000 - 200,000 annually

Perks:Health InsuranceDentalVisionParental Leave401kHsaFsaPaid LeaveHome OfficeLong-term Disability

Key Requirements

•5+ years of experience in data science, product analytics, or a related analytical role.
•Strong foundation in statistics and experimental design, including A/B testing, causal inference, and hypothesis testing.
•Proven experience owning end-to-end experimentation programs and influencing product decisions through data.
•Strong SQL skills and experience working with large datasets.
•Ability to translate complex analyses into clear business insights and recommendations.

Experience:5+ years

Skills:Business intuitionStrategic thinkingCross-functional collaborationCommunicationAnalytical reasoning

Tech Stack:SQLPythonR

Company Brief

Clair

Provides liquidity and financial tools for startup employees, enabling access to equity value through secondary sales, personalized financial planning, and education to help early-stage workers manage and monetize their startup compensation.

Industry: Wealth Management

Growth: Early Stage Startup

Website

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Clair

3 weeks ago

Product Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Own and manage Clair’s experimentation ecosystem, including design, execution, and analysis of A/B tests across underwriting and product experiences.
•Translate model outputs (e.g., risk scores) into actionable business decisions such as approval thresholds and lending strategies.
•Serve as the single source of truth for all experiments, ensuring consistency, rigor, and proper interpretation of results.
•Design experiments to evaluate key levers like credit limits, accrual mechanisms, and pricing, and quantify impacts on growth and risk.
•Define and standardize core product and financial metrics, and partner with Product, Finance, Risk, and Engineering to inform decision-making.

Pay and Benefits

Salary: USD 190,000 - 200,000 annually

Perks:Health InsuranceDentalVisionParental Leave401kHsaFsaPaid LeaveHome OfficeLong-term Disability

Key Requirements

•5+ years of experience in data science, product analytics, or a related analytical role.
•Strong foundation in statistics and experimental design, including A/B testing, causal inference, and hypothesis testing.
•Proven experience owning end-to-end experimentation programs and influencing product decisions through data.
•Strong SQL skills and experience working with large datasets.
•Ability to translate complex analyses into clear business insights and recommendations.

Experience:5+ years

Skills:Business intuitionStrategic thinkingCross-functional collaborationCommunicationAnalytical reasoning

Tech Stack:SQLPythonR

Company Brief

Clair

Industry: Wealth Management

Growth: Early Stage Startup

Website