Data Scientist, Product

A bit about the role :

Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet.

Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text. As a Data Scientist at Cantina, you’ll partner with our product, marketing, and engineering teams to shape the future of AI-native social platforms. You’ll define product success, surface insights that inform product decisions, and create systems that help the entire company work smarter with data.

This is a hybrid role based in San Francisco , CA.

What You'll Do

Work closely with product managers, marketers, engineers, and designers to define success metrics and inform our product and growth strategy

Design and analyze A / B tests and experiments to guide product and growth decisions

Build and maintain dashboards, reporting pipelines, and monitoring tools that turn product data into actionable insights

Lead development of product and marketing KPIs and implement systems for tracking user engagement, retention, and growth

Help foster a data-informed culture across product and leadership teams

What We’re Looking For

3+ years of experience in a data science, product analytics, or similar quantitative role

Strong proficiency in SQL and hands on experience with data warehouses (Redshift, Snowflake, Bigquery)

Proficiency in Python for data analysis and machine learning

Experience designing and analyzing experiments (A / B tests, model variants, etc.)

Ability to translate ambiguous questions into structured analyses with clear takeaways

Comfort working in fast-paced, early-stage environments with high ambiguity

Excellent communication skills and the ability to influence decisions across technical and non-technical stakeholders

Bonus Points For

Experience working in a startup or high-growth consumer product environment

Background in behavioral analytics, statistics, or machine learning

Experience creating self-serve data apps and dashboards (e.g. Looker, Hex)

Location

This is a hybrid role, preferably based in the San Francisco Bay Area.

Pay Equity :

In compliance with Pay Transparency Laws, the base salary range for this role is between $160,000-220,000 for those located in San Francisco and Los Angeles, CA. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

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