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Cantina Labs

Data Scientist, Product

Sorry, this job was removed at 12:24 a.m. (PST) on Wednesday, Nov 26, 2025
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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A bit about Cantina:

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.

If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

A bit about the role:

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.

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 based in the San Francisco Bay Area.

Pay Equity:

In compliance with Pay Transparency Laws, the base salary range for this role is between $150,000-200,000 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.

Benefits:

  • Health Care — 99% of premiums for medical, vision, dental are fully paid for by Cantina, plus One Medical membership.

  • Monthly Wellness Stipend — $500/month to use on whatever you’d like!

  • Rest and Recharge — 15 PTO days per year, 10 sick days, all Federal holidays, and 2 floating holidays.

  • 401(K) — Eligible to participate on day one of employment.

  • Parental Leave & Fertility Support

  • Competitive Salary & Equity

  • Lunch and snacks provided for in-office employees.

  • WFH equipment provided for full-time hybrid/remote employees.

HQ

Cantina Labs San Francisco, California, USA Office

1 Letterman Dr, San Francisco, California, United States, 94129

Cantina Labs Sunnyvale, California, USA Office

111 W Evelyn Ave, STE 210, Sunnyvale, California, United States, 94086

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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