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Replit
Replit
51 – 200 Employees
H1B Visa SponsorArtificial IntelligenceB2B
Replit is a collaborative software creation platform that enables people to build and share applications from anywhere, using any device. Its multiplayer environment supports real-time teamwork, while AI-powered Generate Code helps users turn ideas into working code and streamline development. The company operates at the intersection of artificial intelligence and B2B software, with a product designed for developers and teams creating software together.
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Senior Growth Data Scientist at Replit

Lead growth data science for Replit’s natural-language app creation platform, spanning experimentation, monetization, segmentation, and recommendations. Work with Product, Engineering, and Data Engineering teams.

USUnited StatesCACalifornia
$250,000 – $327,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Lead data science across major growth initiatives, partnering with Product Managers and engineers from problem definition and sizing through launch and results review.
  • Design experiments and metrics for timely, reliable decisions when retention results take time, using CUPED, sequential testing, and validated short-term proxy metrics.
  • Set experimentation standards for Replit’s busiest product surfaces, defining metrics and guardrails and identifying broken tests.
  • Apply quasi-experimental methods, including difference-in-differences, synthetic controls, and regression discontinuity, when randomized tests are impractical.
  • Shape data science for personalization and recommendations, from problem definition and offline and online evaluation to measuring incremental lift.
  • Model the economics of a freemium, usage-based product, including credit use, conversion, pricing, and limits.
  • Build user and project segments from behavioral and content signals using methods such as embeddings and clustering.
  • Work with Data Engineering to build shared metrics and experimentation tools.

Requirements

  • At least six years in data science, including substantial work in growth or experimentation for high-scale prosumer, product-led growth, or self-serve products.
  • Data science experience at a fast-growing startup, building metrics, datasets, and experimentation practices with limited existing infrastructure.
  • Strong command of experimental design and statistical inference, including making reliable decisions with short readout windows and slow-moving outcomes.
  • Experience establishing experimentation standards or platforms used by multiple teams.
  • Expertise in SQL and Python.
  • Evidence that your analysis changed what a team shipped, and ability to influence senior Product and Engineering leaders.
  • Extensive practical use of AI tools to accelerate your work.
  • Ability to build your own datasets in dbt is preferred.
  • Experience analyzing pricing, packaging, or monetization for usage- or credit-based products is preferred.
  • International or mobile growth experience is preferred.
  • A master’s or doctoral degree in statistics, economics, computer science, or another quantitative field is preferred.
  • Experience with multi-armed bandits or adaptive experimentation is a bonus.
  • Familiarity with developer tools, AI products, or creator platforms is a bonus.
  • Able to work from the Foster City, California office three days per week.
  • Legally authorized to work in the United States.

Benefits

  • Competitive salary and equity.
  • 401(k) plan with a 4% employer match in the United States.
  • Health, dental, vision, and life insurance.
  • Short- and long-term disability coverage.
  • Paid parental, medical, and caregiver leave.
  • Flexible time off and holidays.
  • Commuter benefits for in-office employees in the United States.
  • Monthly wellness stipend.
  • Autonomous work environment.
  • Reimbursement for in-office setup.
  • Quarterly team gatherings.
  • On-site amenities.

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