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Paraform

Senior Data Scientist - Product

Posted 19 Days Ago
In-Office
San Francisco, CA, USA
150K-250K Annually
Senior level
In-Office
San Francisco, CA, USA
150K-250K Annually
Senior level
Drive product-focused data science across growth, core product workflows, and incentives. Define metrics, run experiments, apply causal inference, build and monitor production ML models, and partner with engineering to ship data products. The role requires independently solving ambiguous problems, communicating findings clearly, and connecting analysis to user outcomes and product decisions.
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We are looking for a Senior Data Scientist to drive high-impact work across Growth, Core Product Flows, Incentives, and more.

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.

Qualifications
  • 4+ years of experience in data science, applied ML, analytics, or a closely related role.

  • Strong experience with experimentation and/or causal inference in product settings.

  • Strong experience with SQL and a general-purpose language (Python preferred).

  • Experience partnering with engineering teams to ship models, metrics, or data products.

  • Degree in data science, computer science, statistics, math, or another related field.

Preferred
  • Experience with data integration and pipeline development.

  • Experience in marketplaces, growth, incentives, or pricing.

  • Experience working with AI-assisted or agentic workflows.

Tech Stack
  • SQL, Python

About Paraform:

Paraform is a marketplace modernizing one of the largest and most fragmented markets in the world: hiring. We partner with industry leaders like Decagon, Palantir, Rippling, Abridge, and Hightouch to hire world-class talent, and are growing quickly - 8×-ing revenue last year.

Paraform is the first end-to-end AI recruiting marketplace that connects companies with thousands of specialized recruiters and AI agents that work together to fill roles faster and more accurately.

Our mission is to make hiring fast, reliable, and scalable for every company in the world.

At Paraform, we believe recruiting works best when the right people are working on the right problems, combining human judgment with AI that truly understands hiring. That’s why we’re building a new foundation for how companies hire, bringing together specialized recruiters and modern AI tools.

We treat recruiters like entrepreneurs, not vendors – and we’re building the financial, operational, and technical infrastructure that powers their success.

We are backed by the best investors and technology leaders: Scale, Felicis, A*, BOND, Liquid 2, DST Global, the founders of YouTube, Instacart, Canva, and more.

HQ

Paraform San Francisco, California, USA Office

San Francisco, CA, United States

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