Senior Data Scientist - Growth, Product & AI Experiments

Paraform, Inc.

San Francisco, Northern (CA, KY)

Hybrid

USD 170,000 - 240,000

Full time

14 days+
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Job summary

Paraform, Inc. in San Francisco seeks a Senior Data Scientist to drive high-impact work across Growth, Core Product Flows, Incentives, and more.

You will work end-to-end from problem framing to deployment and measurement, helping establish the foundations for experimentation, measurement, and applied ML. This role combines data, product, AI, and business to shape growth and product performance.

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.

Responsibilities

  • Define and measure the funnel, run experiments, and build models to improve acquisition, activation, retention, and revenue.
  • Improve match quality and workflow speed across sourcing, outreach, CRM, and placements through metrics, analysis, and ML.
  • Design and evaluate pricing and payout incentives, forecast impact, and build guardrails against gaming and adverse outcomes.

Skills

Product-minded
Strong causal thinking
Analytical excellence
Modeling & ML
Communication
High ownership

Education

Degree in data science, computer science, statistics, math, or related field

Tools

SQL
Python

Job description

Paraform, Inc. in San Francisco seeks a Senior Data Scientist to drive high-impact work across Growth, Core Product Flows, Incentives, and more.

You will work end-to-end from problem framing to deployment and measurement, helping establish the foundations for experimentation, measurement, and applied ML. This role combines data, product, AI, and business to shape growth and product performance.

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