Head of Data Science and Analytics (JetBrains Air) (Fully Remote)

JetBrains; United States; Remoto; USD 180.000 - 260.000; Tempo integral

Resumo da vaga

JetBrains Air is a senior leadership role at JetBrains focused on data science. You will lead a team of data scientists, analysts, and data engineers to drive experimentation and uncover insights across the customer journey.

You will partner with engineering and leadership on data strategy, ML capabilities, and infrastructure, shaping what to build next with a data-informed, experimentation-driven approach.

Qualificações

• Experience building and leading data teams across DS, analytics, and data engineering.
• Proven ability to drive rigorous experiments and extract actionable insights.
• Strong collaboration with product, engineering, and leadership.

Responsabilidades

• Build and lead a team of data scientists, analysts, and data engineers.
• Drive rigorous experimentation and uncover insights across the customer journey.
• Partner with engineering and leadership on data strategy, ML capabilities, and infrastructure.

Conhecimentos

Strategic thinking

Experimentation

Data storytelling

Communication

Descrição da vaga

• Build and lead a team of data scientists, analysts, and data engineers.
• Drive rigorous experimentation and uncover insights across the customer journey.
• Partner with engineering and leadership on data strategy, ML capabilities, and infrastructure.

What you'll bring:

• Strategic mindset with hands-on detail and a strong belief in experimentation.
• Deep understanding of modern data science, analytics, and data engineering.
• Clear communication skills and a point of view on AI's role in software development.

What success looks like:

• JetBrains Air becomes data-informed and experimentation-driven.
• Strong foundations empower teams to measure impact and make strategic decisions.
• Data work actively shapes what to build next.

JetBrains

JetBrains creates intelligent software development tools for developers and teams. With more than 15 million users, 300,000+ organizations, and 88 of the Fortune Global Top 100, they aim to make development teams more productive and AI adoptable at scale.