Data Scientist, Product

Replit
California
Workplace: HybridFull timeUSD 180,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Presentation","Teamwork","Analytical thinking"]

Data-driven marketer-facing role building and analyzing models and dashboards to optimize Replit’s marketing efforts. You’ll design experiments, build attribution and predictive models, and collaborate with marketing, growth, and revenue teams to translate questions into actionable insights, while developing data pipelines and self-service reporting for CAC, LTV, and ROAS across self-serve and enterprise segments.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Replit
Replit
9 months ago

Data Scientist, Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Data-driven marketer-facing role building and analyzing models and dashboards to optimize Replit’s marketing efforts. You’ll design experiments, build attribution and predictive models, and collaborate with marketing, growth, and revenue teams to translate questions into actionable insights, while developing data pipelines and self-service reporting for CAC, LTV, and ROAS across self-serve and enterprise segments.
Location: California
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
  • •Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
  • •Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns.
  • •Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
  • •Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.

Pay and Benefits

Salary: USD 180,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid LeaveCommuter BenefitsWellness Stipend

Key Requirements

  • •Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
  • •4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.
  • •Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt
  • •Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
  • •Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
Experience:4+ yearsMarketing analyticsGrowthSaaS
Education:Bachelor's
Skills:CommunicationProblem-solvingPresentationTeamworkAnalytical thinking
Tech Stack:SQLPythonDbtLookerTableauModeGoogle AdsMetaIterableSegmentBigQuerySnowflakeFivetran

Company Brief

Replit
Provides a browser-based integrated development environment (IDE) and collaborative coding platform that lets developers write, run, and deploy code instantly across many languages and frameworks.
Industry: Developer Tools
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn