Lead Data Scientist, Product

Remote; San Francisco (CA); Presencial; USD 200.000 - 250.000; Jornada completa

Descripción de la vacante

Logoslabs is seeking a founding product data scientist to shape our growth strategy, elevate experimentation culture, and scale our business through data-driven decisions.

You will own experimentation design, analyze activation and monetization opportunities, collaborate with product and engineering, and build self-service analytics with AI tools to empower stakeholders with reliable metrics.

Formación

• 5-8 years of experience in a Data Scientist or similar role.
• 3+ years 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.

Responsabilidades

• Conduct in-depth analysis to shape product PLG motion and B2B strategy.
• Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.
• Leverage 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.

Conocimientos

Growth strategy

A/B testing

Statistical analysis

SQL

Python/R

Communication

Team collaboration

Startup experience

Educación

Bachelor's degree in a quantitative field

Herramientas

SQL databases

Experiment platforms

Descripción del empleo

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 founding 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.

What You'll Do

• Conduct in-depth analysis to shape product PLG motion and B2B strategy.

• Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.

• 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.

What You Bring

• 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.

The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.