Head of Data Science and Analytics (JetBrains Air)
JetBrains · Data · Lead · 11d ago
Open to candidates living in Armenia, Cyprus, Czechia, Germany, Spain, United Kingdom, Netherlands, Poland, Serbia.
Direct from the employer's own careers page
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to candidates living in Armenia, Cyprus, Czechia, Germany, Spain, United Kingdom, Netherlands, Poland, Serbia.
“Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia”
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As Head of Data Science and Analytics for JetBrains Air, you will build and oversee a high-performing multidisciplinary data team supporting both product development and go-to-market initiatives. You will define the data strategy, establish scalable analytics and experimentation frameworks, collaborate with engineering on robust infrastructure, and deploy machine learning capabilities to guide strategic product decisions and accelerate growth.
What you'll do
- Build and lead a cohesive team of data scientists, analysts, and data engineers.
- Help product and engineering teams adopt a rigorous experimentation and A/B testing culture.
- Establish scalable analytics foundations, including metrics 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 to enhance acquisition, personalization, and operational efficiency.
- Define the business unit's overarching data strategy and translate complex signals into actionable leadership recommendations.
What you bring
- Proven experience leading and scaling a data function within a product-led, B2B SaaS, AI, or developer tools environment.
- Deep understanding of modern data science practices, cohort analysis, A/B testing, segmentation, and machine learning applications.
- Solid grasp of data engineering fundamentals such as data modeling and orchestration.
- Track record of hiring, mentoring, and developing multidisciplinary data teams.
- Strong communication skills to align both technical and non-technical stakeholders.
About JetBrains
JetBrains creates intelligent software development tools used by over 15 million developers and 300,000 organizations worldwide to solve complex engineering problems.
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