STAFF DATA SCIENTIST

Datamasked; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Job summary

An innovative late-stage education startup is on the lookout for a Staff Data Scientist to enhance user engagement and drive product growth. In this pivotal role, you will collaborate closely with Product Managers to implement data-driven strategies that optimize user experiences and reduce churn. Your expertise in A/B testing and product analytics will be crucial in delivering high-impact projects that directly influence business outcomes. Join a mission-led team that values creativity and strategic thinking, and make a significant impact in a rapidly growing environment.

Benefits

Unlimited PTO

11 Paid Holidays

Annual Bonus

Company Equity

Qualifications

• Minimum of 8 years in data science, focusing on product analytics.
• Experience with consumer tech brands and proven project impact.

Responsibilities

• Optimize user experiences to drive subscription growth.
• Provide actionable insights to influence business outcomes.

Skills

SQL

A/B Testing

Product-Led Growth (PLG)

User Engagement

Data-Driven Decision Making

Education

Bachelor's Degree in Data Science or related field

Master's Degree in Data Science or related field

Job description

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 :

• 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

Education Administration Programs and Software Development

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Staff Data Scientist • San Francisco, CA, United States