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Data Scientist, Product at Cantina

Cantina No longer available

Job Description

About Cantina:

Cantina Labs is a social AI company, developing a suite of advanced real time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.

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

About the Role:

As a Data Scientist at Cantina, you'll be a founding member of our data team and help lay the foundation for how data science is done here. And as an early team member in a new product category, you'll partner with our product, marketing, and engineering teams to shape the future of AI native social platforms. You'll define product success, build models and 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
  • Research user behavior, and use the results to drive product innovation
  • Help foster a data informed culture across product and leadership teams
What You'll Bring:
  • 5+ 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) and tools like dbt or Airflow
  • Proficiency in Python for data analysis and machine learning. Experience with Hex is a plus.
  • Ability to translate ambiguous questions into structured analyses with clear takeaways
  • Excellent communication skills and the ability to influence decisions across technical and non technical stakeholders
Compensation:

The anticipated annual base salary range for this role is between $180,000-$240,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.

Benefits:
  • Competitive salary and generous company equity
  • Medical, dental, and vision insurance - 99.99% of premiums covered by Cantina
  • 42 days of paid time off, including:
    • 15 PTO days
    • 10 sick days
    • 15 company holidays
    • 2 floating holidays
  • Generous parental leave & fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account - $500/month to use however you'd like
  • Complimentary lunch and snacks for in office employees
  • One Medical membership, and more!

Typical mid-level pay: $113k for Data Scientists nationally

National salary averages
Expected mid-level
$113k
Entry
Mid
Senior
Expected
$64k Market range (10th-90th percentile) $194k

Top performers earn significantly more—skill and negotiation matter.

Senior roles pay 89% more than entry—experience is well rewarded.

Strong candidate leverage

High demand and responsive wages. Negotiate confidently on all fronts.

Hiring leverage
Candidate-favored
Wage leverage
Moderate
Mobility
Good mobility

Who this leverage applies to

Stronger for: All experience levels

Where to negotiate

Base salary
Sign-on bonus
Title / level
Remote flexibility
Scope & responsibility
Start date / PTO

Likely Possible Unlikely

Use competing offers and timing to your advantage.

Does this path compound?

Job Growth →
High churn
Growth, flat pay
🚀 Compound
Growth + pay upside
⚠️ Plateau
Limited growth
Specialize
Experts earn more
Pay Upside →
Growth + pay upside

Both the field and your earnings can grow significantly.

+34%
10yr growth
New positions are being created faster than they're being filled.
A bachelor's degree is typically expected.
Typical: Bachelor's degree

Good time to build expertise—demand will chase supply.

Labor data: BLS 2024