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Ladders
Ladders

Senior Data Scientist - Growth

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Growth
Data
Testing
+21

Visa

U.S. visa required

Permanent role
9 days ago
Apply now

For our client, we are seeking a Senior Data Scientist - Growth to join the team of a leader in the Finance & Insurance space.

This role will focus on shaping growth strategy through rigorous analysis, experimentation, and clear business storytelling. You will partner closely with product and growth leaders to identify the most important questions, evaluate opportunities, and help guide decisions across the full customer journey. The work will combine hands-on analytics with strategic influence, supporting retention, funnel optimization, and self-serve measurement capabilities.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $200,700 – $250,900 annually

Responsibilities

  • Partner with Growth teams to identify high-impact business questions and influence product development.
  • Own the full growth funnel, from initial visit to customer retention, and build metrics and narratives that track performance.
  • Size opportunities and prioritize the Growth roadmap, making recommendations with incomplete data.
  • Design and analyze experiments, including A/B tests, to evaluate changes and guide future actions.
  • Adjust the rigor of your work based on decision stakes, providing fast insights when needed.
  • Collaborate with Data Scientists and Engineers to create self-serve growth metrics.
  • Communicate findings and recommendations clearly to all levels, including executives.

Qualifications

  • 6+ years of experience in data science, product analytics, or growth analytics.
  • 3+ years of experience working closely with product growth teams.
  • Strong product sense with a proven track record of influencing product direction.
  • Deep expertise in experiment design and analysis, including funnel and retention analysis.
  • Fluency in SQL and a statistical programming language such as Python or R.
  • Experience with product analytics and BI tools such as Amplitude or Hex; familiarity with Snowflake and dbt is a plus.
  • Ability to communicate effectively with both technical and non-technical audiences.

Benefits

  • Equity options and RSUs as part of the total rewards package.
  • Highly competitive salary and equity ranges within the SaaS and fintech industry.
  • Regular updates to compensation based on reliable industry survey data.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

About Ladders

👥201-500
📍New York
🔗Website
Visit company profileIconOpenNewWindows

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