About the role
About this role Nearly $900B is spent on recruiting every year, yet the process remains broken. Paraform is building the global talent infrastructure where companies come to fill their most critical roles. Through every search, placement, and interaction on our platform, we capture proprietary hiring data at scale. That data powers the agentic systems we are building to make hiring faster, smarter, and more precise. We believe AI will create more jobs, not less by removing constraints and enabling companies to move faster and hire more ambitiously.
The role We are looking for a Senior Data Scientist to drive high-impact work across Growth , Core Product Flows , Incentives, and more . You will partner closely with Product, Engineering, Design, and Go-to-Market to: Define the right metrics and causal questions Instrument data so we can measure what matters Build models and decision systems that improve outcomes for recruiters, candidates, and customers Ship analysis and data products that change how the product behaves This is a high-ownership role. You will work end-to-end from problem framing to deployment and measurement, and you will help establish the foundations for how Paraform does experimentation, measurement, and applied ML. What you will work on The current product roadmap focuses on: Growth : Define and measure the funnel, run experiments, and build models to improve acquisition, activation, retention, and revenue. Core product flows : Improve match quality and workflow speed across sourcing, outreach, CRM, and placements through metrics, analysis, and ML. Incentives : Design and evaluate pricing and payout incentives, forecast impact, and build guardrails against gaming and adverse outcomes. What we are looking for Product-minded : You connect analysis and modeling work to user outcomes and shipped product decisions. Strong causal thinking : You can distinguish correlation from causation and choose appropriate experimental or observational methods. Analytical excellence : You are fluent in SQL and can do rigorous analysis in Python (or similar). Modeling & ML : You can build, evaluate, and iterate on models used in production, and you know how to set up monitoring. Communication : You write and present clearly, and you can align cross-functional partners on definitions and decisions. High ownership : You can independently take ambiguous problems from 0 → 1.
