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Datamasked

Staff Data Scientist

Datamasked, San Francisco, CA, United States


This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Additional compensation types

Annual Bonus and RSUs

Data Science Focused Recruitment Consultant

Title: Staff Data Scientist

Location: Company based in SF, CA - willing to hire hybrid or fully remote in U.S.

Overview of Role:

Focus Areas:

  • Product Analytics and Growth
  • Driving parent subscriptions
  • Enhancing Monthly Active Users (MAU) and Daily Active Users (DAU)
  • Preventing user churn
  • Improving user experience within the product workflow

Team:

15 members including Data Scientists and Analytics Engineers.

Company Fit:

Ideal candidates come from early-stage startups, high-growth consumer tech companies, or a MAANG background.

Company Description:

Cutting-edge late-stage education startup that has reached an unprecedented scale rapidly and are strongly mission-led.

Role Description:

As a Staff Data Scientist, you will play a critical role in driving product growth and improving user engagement metrics. Working closely with Product Managers, you will design and execute data-driven strategies that enhance user experience, increase subscriptions, and reduce churn.

You will lead high-impact projects and provide actionable insights based on robust analytics and experimentation, directly influencing millions of dollars in business outcomes. The role requires expertise in A/B testing, defining metrics, and optimizing product workflows for consumer tech.

Key Responsibilities:

Growth & Engagement:

  • Optimize user experiences to drive subscription growth and retention.
  • Influence key metrics like engagement, retention, churn, MAU, DAU, and user acquisition.
  • Partner with Product Managers to design, launch, and optimize features.
  • Define metrics and KPIs for tracking feature performance.
  • Implement A/B testing frameworks to validate hypotheses and measure success.

Data Insights:

  • Provide actionable insights that drive user growth and engagement.
  • Lead high-stakes projects with measurable business value.

Stakeholder Management:

  • Serve as a strategic partner to Product Managers, ensuring alignment on goals and outcomes.

Skills and Experience:

Ideal Candidate Profile:

Background:

  • Minimum of 8 years of experience in a data science role.
  • Experience in product analytics or data science at leading consumer tech brands.
  • Proven focus on growth, engagement, and retention (not marketing science).
  • Track record of delivering high-impact projects with clear outcomes.

Technical Skills:

  • Expertise in SQL.
  • Strong experience in A/B testing and experimentation.
  • Deep understanding of Product-Led Growth (PLG) strategies.
  • Familiarity with metrics like MAU/DAU and churn reduction techniques.
  • Knowledge of consumer tech workflows (e.g., features like Instagram Reels).
  • Business impact-driven approach.
  • Clear communicator of data-driven recommendations to stakeholders.
  • Skilled in defining and tracking KPIs.

Benefits:

  • Unlimited PTO
  • 11 paid holidays
  • Annual bonus and company equity

Candidate must be authorized to work in the US to be considered.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Information Technology, and Product Management

Industries

Education Administration Programs and Software Development

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