Senior Data Scientist (Marketing)

TL;DR

Senior Data Scientist (Marketing): Building predictive models and measurement frameworks for player acquisition and budget optimization with an accent on LTV, ROAS, and attribution methodologies. Focus on advancing MMM, MTA, and incrementality testing to drive sustainable global growth.

Location: Hybrid (Warsaw, Poland) - 3 days from the office

Company

hirify.global builds top-grossing mobile games focused on social experiences and data-driven growth.

What you will do

• Lead end-to-end Data Science initiatives from problem definition and experimentation to business adoption.
• Build predictive models (LTV, ROAS, payback) to directly influence marketing budget allocation across channels and geographies.
• Advance the marketing measurement framework through MMM, MTA, and incrementality testing.
• Identify business opportunities and provide data-driven recommendations to influence strategy.
• Partner with UA, ASO, and Creative teams as a trusted expert for data-driven decision-making.
• Develop scalable solutions and automate workflows to improve efficiency and accelerate decision-making.

Requirements

• 5+ years of hands-on Data Science or ML experience in product-oriented and data-driven environments.
• Solid foundations in statistics, ML, and experimental design.
• Proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch, statsmodels) and SQL.
• Experience with PySpark, cloud infrastructure, and ML tooling (Databricks, MLFlow, GitHub Actions).
• Ability to translate complex analyses into clear narratives for non-technical audiences.
• Must be based in or able to work in Warsaw, Poland (Hybrid).

Nice to have

• Extensive experience in Product Data Science, causal inference, and experimentation methodologies.
• Experience building production-level data science solutions using software engineering best practices.
• Experience with Bayesian modeling and probabilistic programming (PyMC, TFP, NumPyro).
• Passion for mobile games, player behavior, and game economy modeling.
• Familiarity with mobile marketing ecosystems, including attribution and UA channels.