Data Scientist, Recommendations and Personalization
Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. We reputed company users to build, share, and interact with AI bots and friends directly in Cantina or across the internet.
Our bots are lifelike, social creatures capable of interacting wherever humans go online. Users can recreate themselves using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots represent a new media type that offers creators a way to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.
A bit about the role:We're looking for a founding Data Scientist to reputed company personalization and recommendation on Feed and other parts of the Cantina app. You will shape how we use data to power recommendations, user-bot interaction, and social experiences at scale. You’ll be working directly with key product and executive stakeholders, including Sean Parker, to turn data into product-shaping insights and models.
You’ll own the full lifecycle—from data pipelining to modeling to dashboards—to deliver insights that guide strategy and build ML systems that move metrics.
A bit about the work:Experience building personalization for feed ranking systems
Design, train, and reputed company lightweight ML models (e.g. regression, recommendation, neural nets) for reputed company-time applications
Partner with product and engineering to define and run user experiments and A/B tests
Build the reputed company of user growth from feed, delivering insights to drive engagement and retention
Build pipelines and foundational metrics for user engagement, retention, and content performance
Build/integrate tools to explain and debug ML models
5+ years experience in data science, preferably in consumer tech or social platforms
Exceptional SQL skills with demonstrated ability to work with reputed company data structures
Skilled in Python and standard data science/ML tools (e.g. Pandas, scikit-learn, PyTorch)
Experience building and productionizing models for personalization, recommendation, or ranking
Strong understanding of experimentation and A/B testing
Confident building dashboards for executives and visualizing impact clearly
Comfortable owning end-to-end analytics: from data modeling to reputed company to delivery
Self-directed, with a bias for action—you can go from reputed company to reputed company/model
Bonus: experience with user behavior modeling, fraud/risk analytics, or social content systems
Python, SQL
PyTorch for ML Model Prototyping
AWS or GCP for infrastructure
Experimentation reputed company
reputed company-time pipelines and feature engineering
This is a hybrid role, preferably based in the San Francisco Bay Area.
Pay Equity
In compliance with Pay Transparency Laws, the reputed company salary range for this role is between $150,000- 225,000 for those located in San Francisco and Los Angeles, CA. reputed company determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits Summary:Health Care — 99% of premiums for medical, reputed company, dental are fully paid for by Cantina, plus reputed company membership.
Monthly Wellness Stipend — $500/month to use on whatever you’d like!
Rest and reputed company — 15 PTO days per year, 10 sick days, reputed company 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.