Lead Growth Data Scientist, Product & Experiments - Remote

Descript

United States

Hybrid

USD 200,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401k matching
Catered lunches
Flexible vacation

Job summary

Descript, headquartered in San Francisco, offers a fully remote and hybrid work model for this data science leadership role. You will steer product growth analytics, own key success metrics, and partner with product and engineering to design rigorous experiments that unlock activation and monetization.

Required are 5–8 years as a data scientist, 3+ years in growth, strong SQL and Python/R skills, and a passion for turning data into strategic decisions in a fast-growing startup environment.

Qualifications

  • 5–8 years in a Data Scientist role.
  • 3+ years in a growth function.
  • Strong business and product intuition.
  • Strong knowledge of statistical analysis and A/B tests.

Responsibilities

  • Analyze to shape product PLG motion and B2B strategy.
  • Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization.
  • Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently.
  • Improve execution rigor of product teams by owning success metrics and opportunity sizing.
  • Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis.
  • Provide creative solutions for tricky experimentation scenarios.
  • Evolve experimentation culture and practices within the company.

Skills

SQL
Python
R
Statistics
A/B testing
Business intuition
Communication
Collaboration
Growth mindset

Tools

Python
R

Job description

Descript, headquartered in San Francisco, offers a fully remote and hybrid work model for this data science leadership role. You will steer product growth analytics, own key success metrics, and partner with product and engineering to design rigorous experiments that unlock activation and monetization.

Required are 5–8 years as a data scientist, 3+ years in growth, strong SQL and Python/R skills, and a passion for turning data into strategic decisions in a fast-growing startup environment.

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