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Paraform is an AI-native recruiting marketplace that connects companies with specialized recruiters and AI agents to fill roles faster and more accurately. The company is experiencing rapid growth (8x revenue growth last year) and is backed by top-tier investors including Scale, Felicis, and founders from YouTube, Instacart, and Canva.
As Senior Data Scientist - Product, you will drive high-impact work across Growth, Core Product Flows, Incentives, and more in a high-ownership role. You will work end-to-end from problem framing through deployment and measurement, establishing foundational practices for experimentation, measurement, and applied ML at Paraform.
Key responsibilities include:
**Growth**: Define and measure acquisition, activation, retention, and revenue funnels; run experiments and build predictive models to improve customer acquisition and lifetime value.
**Core Product Flows**: Improve match quality and workflow speed across sourcing, outreach, CRM, and placement stages through rigorous metrics, analysis, and machine learning.
**Incentives**: Design and evaluate pricing and payout structures, forecast business impact, and build safeguards against gaming and adverse outcomes.
You will partner closely with product, engineering, and business teams to translate data insights into shipped product decisions. The role requires strong causal thinking to distinguish correlation from causation and select appropriate experimental or observational methods. You will be fluent in SQL and Python, capable of building and monitoring production ML models, and skilled at communicating complex analyses to cross-functional stakeholders.
Required qualifications: 4+ years in data science, applied ML, analytics, or related field; strong experimentation and/or causal inference experience in product settings; proficiency with SQL and a general-purpose language (Python preferred); experience shipping models or data products with engineering teams; degree in data science, computer science, statistics, math, or related field.
Preferred: data pipeline and integration experience; background in marketplaces, growth, incentives, or pricing; exposure to AI-assisted or agentic workflows.
