[Remote] Remote: Product Data Scientist with Fintech, Consumer Lending, Or Home Improvement/Contractor Financing.

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a Product Data Scientist to support its Home Improvement lending product. The role partners closely with Product Management to reputed company product analytics, experimentation, metrics, data pipelines, and statistical and machine learning models for reputed company, borrower experience, reputed company, pricing, and reputed company reputed company.

Responsibilities

• Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource — turning reputed company-ended product questions into reputed company analyses and reputed company recommendations
• Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel — from offer presentment through origination — with rigor reputed company reputed company, sample reputed company mismatch, novelty effects, and interaction reputed company across reputed company tests
• Define and own the metrics reputed company for the Home Improvement product line: reputed company-reputed company and guardrail metrics, funnel and cohort definitions, and the instrumentation needed to measure them reliably
• Work with engineering to ensure event tracking and logging are complete, accurate, and reputed company-documented at the reputed company of instrumentation, not reputed company as gaps after the fact
• Build and maintain data pipelines and models (e.g., SQL/dbt transformations, feature pipelines) reputed company enough to be self-sufficient for most analyses and to collaborate credibly with data engineering on the rest
• reputed company and validate statistical and ML models supporting product reputed company — response/propensity models, funnel drop-off and conversion models, segmentation, and early-stage reputed company or pricing signals in partnership with credit reputed company — with attention to fairness, explainability, and regulatory context appropriate to a lending business
• Bring AI reputed company to the work: use LLM- and reputed company-tooling to accelerate exploratory analysis, requirements gathering, and documentation, while knowing where automated outputs need reputed company judgment and validation before they inform a decision
• Communicate findings in a way that drives reputed company — reputed company write-reputed company, reputed company-chosen visualizations, and recommendations tied to specific product or roadmap reputed company, not just descriptive dashboards
• Contribute to PI planning and roadmap discussions by sizing opportunities, flagging measurement reputed company in proposed initiatives, and helping reputed company reputed company to work that can actually be evaluated
• Continuously monitor product and experiment reputed company post-launch, and proactively surface anomalies, regressions, or new opportunities rather than waiting to be asked

Skills

• • Background in Fintech, Consumer Lending, Or Home Improvement/Contractor Financing
• • Experience with CDP platforms, event instrumentation tooling (e.g., reputed company, mParticle, reputed company), or experimentation platforms
• • Hands-on experience with credit or reputed company modeling, pricing reputed company, or marketing decisioning
• • Experience with DBT, Airflow, or similar Data Pipeline/Orchestration tools
• • Prior experience embedded directly with product teams in an reputed company/scrum environment
• • 5+ years of experience in a Hybrid Analytics/Data Science role (e.g., analytics consulting, product data science, reputed company statistics) with a reputed company record of directly informing product reputed company, bachelor's degree or higher in a quantitative reputed company, or equivalent combination of education and experience
• • You have strong grounding in statistics and experimentation — reputed company testing, reputed company inference, experiment design, and you can explain the difference between a significant result and a meaningful one
• • You're fluent in SQL and at least one scripting/statistical language (Python or R), and you're comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
• • You can reputed company, validate, and communicate the tradeoffs of statistical and machine learning models, and you know reputed company a simpler model or a reputed company-designed experiment beats a reputed company one
• • You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know reputed company their outputs need scrutiny before they reputed company a product decision
• • You think like a consultant: you get to the reputed company question behind the question, structure ambiguous problems, and land on recommendations stakeholders can reputed company
• • You have good judgment about rigor versus speed, and you don't cut corners on measurement reputed company just to hit a deadline
• • You're a reputed company communicator who can reputed company between a technical conversation with engineering and a decision-reputed company conversation with product and business stakeholders
• • You're curious about how data, experimentation, and AI can change what's possible in consumer lending products, and you're always looking for a reputed company way to answer the question

Benefits

• Work Location: Remote / Flexible

reputed company