Lead Data Scientist, Product

descript· 11 open roles

Remote RemoteFull-time2 weeks ago

Salary

Undisclosed

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

Apply Now

Boost your chances at descript

Tailor your resume to this exact job and generate a matching cover letter in about 60 seconds with JobEase — our AI application assistant.

ATS-optimized resume
Personalized cover letter
Match score & keyword gaps

Tailor my application

Free to start · no card required

Get more other jobs in your inbox

Verified daily — no ghost listings.

About This RoleAI processing…

Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems.

As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business.

Key Responsibilities

1
Conduct in-depth analysis to shape product PLG motion and B2B strategy.
2
Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.
3
Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently.
4
Improve execution rigor of product teams by owning success metrics and opportunity sizing.
5
Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios.
6
Evolve experimentation culture and practices within the company.

Requirements

5–8 years of experience in a Data Scientist or similar role.
3+ years working in a growth function.
Strong business and product intuition to identify opportunities in the growth ecosystem.
Strong knowledge of statistical analysis and A/B tests.
Strong SQL skills and proficient in at least one programming language such as Python or R.
Excellent communication and collaboration skills.
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset.
Having worked at a fast-growing start-up is a plus.