Head of Data Science and Analytics (JetBrains Air)

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C-Level / ManagerHybryda·WarszawaFull-time

#472312·Dodano wczoraj·2

Źródło: JetBrains

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Tech Stack / Keywords

AImachine learningA/B testingB2B SaaSdata modelingdata orchestrationdata pipelinescohort analysissegmentation

Podsumowanie oferty

As Head of Data Science and Analytics for JetBrains Air, you’ll lead data science, analytics, and data engineering across product and go-to-market domains. You’ll shape the data strategy and foundations, improve experimentation and product decisions, and guide machine learning capabilities.

Wymagania

Proven experience leading and scaling a data function in a product-led, B2B SaaS, AI, or developer tools environment.
Deep understanding of modern data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications to product and marketing problems.
Solid grasp of data engineering fundamentals, such as data modeling and orchestration.
Track record of hiring, mentoring, and developing multidisciplinary data teams.
Strategic mindset and willingness to work hands-on when necessary.
Belief in building experimentation cultures and helping others make data-informed decisions.
Ability to navigate ambiguity and build new capabilities in a fast-moving space.
Clear, candid communication skills to align technical and non-technical stakeholders.
Appreciation for developer products and a distinct point of view on how AI will shape the future of software creation.
Commitment to high standards for privacy, security, and responsible data use.
Willingness to learn fast and find practical solutions to hard problems.

Obowiązki

Build and lead a cohesive team of data scientists, analysts, and data engineers.
Help teams adopt a rigorous experimentation culture and improve how they test and measure product changes.
Uncover insights across the customer journey to improve acquisition, retention, and monetization.
Establish scalable analytics foundations, including metric frameworks, data models, and self-service reporting.
Partner with engineering teams to design robust, compliant data infrastructure and pipelines.
Guide the development of machine learning capabilities for marketing acquisition, product personalization, and operational efficiency.
Translate complex data signals into actionable recommendations for leadership.
Define the business unit’s data strategy to support product and engineering priorities.

Benefity

Extra time off.
Medical insurance allowance for you and your family.
Access to conferences, courses, and language classes.
Relocation support.
A hot meal or lunch allowance on workdays.
Access to professional mental health services.
An on-site gym or sports club stipend.
Company-wide celebrations and team gatherings.

Płatny urlop

Ubezpieczenie

Kursy językowe

Pakiet relokacyjny

Karta sportowa

Spotkania integracyjne

Inne informacje

Remote work from abroad is available for up to 30 days per year.

JetBrains

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