Product Data Scientist

Calliere • New York, NY

3d • Hybrid

About The Position

We’re hiring a Product Data Scientist to own the measurement, experimentation, and analytics that shape both the product experience and how we think about credit and risk. You’ll design how we test ideas, define whether they’re successful, and ensure that decisions across the company are grounded in clear, quantitative evidence rather than gut feel. This role is squarely in the “analytics + experimentation” lane: it’s about structuring tests, analysing outcomes, and influencing strategy, not building large-scale ML systems from scratch. You’ll sit between product, finance, risk, and engineering, helping each function understand the impact of changes on growth, economics, and portfolio quality.

Requirements

• Approximately 5+ years in data science, product analytics, or another quantitative role with direct impact on product or business strategy.
• Strong foundation in statistics and experimental design, including A/B testing, hypothesis testing, and practical causal inference concepts.
• Hands-on experience running structured experimentation programs and using their results to shape roadmaps or policies.
• Deep SQL proficiency and comfort working with large, messy datasets.
• Ability to translate complex analyses into clear, concise narratives and recommendations for business and product leaders.
• History of successful collaboration with cross-functional teams in fast-moving environments.
• Strong business intuition, with a habit of thinking in terms of unit economics, trade-offs, and risk-versus-growth dynamics.

Nice To Haves

• Exposure to fintech, lending, or credit products, especially around risk scoring or portfolio management.
• Familiarity with underwriting concepts like approval strategies, loss expectations, and credit performance measurement.
• Experience building forecasting or projection models for revenue, engagement, or portfolio metrics.
• Proficiency in Python or R for data analysis and experiment evaluation.
• Hands-on use of experimentation platforms and statistical tooling in a production environment.

Responsibilities

• Own the end-to-end experimentation framework for the product, from ideation and design through implementation and readout.
• Design A/B and multivariate tests that touch both user-facing surfaces and credit policies, and quantify their impact on behaviour, economics, and risk.
• Turn risk indicators and model outputs into practical business rules and strategies for approvals, exposure, and pricing.
• Act as the central source of truth for experiment results, setting standards for methodology, guardrails, and interpretation.
• Define core product and financial metrics, and build dashboards and frameworks to monitor behaviour, unit economics, and overall performance.
• Partner with Product, Finance, Risk, and Engineering to evaluate trade-offs and make calls that balance user value, growth, and portfolio health.
• Serve as a strategic thought partner, clearly communicating what the data says (and doesn’t say) to non-technical stakeholders.

Benefits

• Comprehensive health coverage (medical, dental, vision) with options for dependents.
• Paid parental leave and employer-supported retirement plans.
• Flexible PTO policy tailored for salaried roles.
• Stipend for home office setup and remote collaboration tools.
• Access to the company’s products and financial wellness tools for your own use.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed