Senior Data Scientist (Marketing)

Our requirements

• You bring 5+ years of hands-on Data Science or ML experience, ideally in product-oriented and highly data-driven environments.
• You love working at the intersection of data science and real business impact.
• Your foundations in statistics, ML, and experimental design are solid - you know why methods work and you can pick the right tool for the problem.
• You're fluent in Python (pandas, scikit-learn, TensorFlow/PyTorch, statsmodels) and SQL, and you're proficient with PySpark or big data environments when the scale demands it.
• You've worked with cloud infrastructure and ML tooling (Databricks, MLFlow, GitHub Actions) and care about building things that actually run reliably in production.
• You ask the right business question before reaching for a methodology, and you're willing to challenge your own assumptions when the data tells a different story.
• You genuinely enjoy translating complex analyses into clear, compelling narratives for non-technical audiences - and those conversations energize you rather than drain you.
• You thrive in fast-paced, ambiguous environments where priorities shift, ownership is expected, and no one needs to tell you what to work on next.

Optional

• Extensive practical experience in Product Data Science, with a strong focus on experimentation methodologies, causal inference and data-driven product decision-making.
• Experience building scalable, production-level data science solutions using best practices from software engineering.
• Experience with Bayesian modeling and probabilistic programming (PyMC, TFP, NumPyro).
• Passion for mobile games, understanding player behavior, and modeling game economy.
• Familiarity with mobile marketing ecosystems & concepts: attribution, UA channels, MMM.

Your responsibilities

• Lead end-to-end Data Science initiatives, from problem definition and experimentation to implementation and business adoption, ensuring your work translates into measurable business outcomes.
• Build predictive models (LTV, ROAS, payback) that directly influence how marketing budgets are allocated across channels, geographies, and growth initiatives.
• Shape the future of our marketing measurement framework by advancing attribution methodologies through MMM, MTA, and incrementality testing, helping us better understand what truly drives performance.
• Proactively identify business opportunities, challenge assumptions, and bring forward data-driven recommendations that influence strategy and create measurable impact.
• Partner closely with Marketing teams, becoming a trusted advisor and the go-to expert for data-driven decision-making across the organization.
• Translate complex analyses into clear, actionable recommendations that stakeholders can quickly understand and confidently act upon.
• Develop scalable solutions and automate workflows to improve efficiency, accelerate decision-making, and enable teams to focus on higher-value work.

About the project

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• dental care
• no dress code
• video games at work
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• redeployment package
• christmas gifts
• employee referral program