Product Data Scientist (+ Equity) at Peer AI

Jack & Jill; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Equity

Job summary

Peer AI is seeking a Product Data Scientist to build analytics that reveal how the product truly performs, analyzing rich signals from AI-agent actions and document-generation workflows.

Working at the intersection of data science and engineering, you’ll define core health metrics, design durable semantic models, and build automated systems that connect usage signals to customer outcomes.

Qualifications

• Strong SQL and Python skills with experience in product analytics, data science, or analytics engineering.
• Experience with raw event data and instrumentation.
• Background in funnels, cohorts, and behavioral analytics to inform product recommendations.

Responsibilities

• Define core product health metrics and durable event models for entities like AI-agent actions and study documents.
• Instrument new capabilities with engineering to ensure analytics are embedded in feature development.
• Build automated analyses and AI-assisted systems that connect usage signals to downstream outcomes.

Skills

SQL

Python

Product analytics

Data science

Job description

Job Title

Product Data Scientist (Product Analytics / ML)

Salary

Not Disclosed + Equity

Company Description

Peer AI is a Bay Area-founded, venture-backed company transforming drug development with AI-powered intelligence for a $23B addressable market.

Job Description

You will build the feedback system revealing how Peer AI’s product truly performs, analyzing rich signals from AI-agent actions and document-generation workflows. Sitting at the intersection of data science and engineering, you’ll define core health metrics, design durable semantic models, and build automated systems that connect usage signals to customer outcomes.

Location

San Francisco, USA

Why this role is remarkable

• Work on a platform already live with top-tier pharma customers, directly accelerating the delivery of life-saving medical treatments to patients.
• Join an AI-native engineering culture that prioritizes automation and system-building over recurring manual tasks and one-off reporting.
• Receive a meaningful equity grant in a high-growth startup backed by investors with deep roots in technology and life sciences.

What You Will Do

• Define core product health metrics and design durable event models for complex entities like AI-agent actions and study documents.
• Partner with engineering teams to instrument new capabilities, ensuring high-quality analytics is integrated directly into the feature development process.
• Build automated analyses and AI-assisted systems that detect meaningful changes in user behavior and connect signals to downstream outcomes.

The ideal candidate

• Possesses excellent SQL and strong Python skills with significant experience in product analytics, data science, or analytics engineering.
• Demonstrates comfort working with raw event data and application semantics to fix instrumentation rather than just consuming polished tables.
• Brings a strong grounding in funnels, cohorts, and behavioral analysis with the ability to turn ambiguous data into product recommendations.