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Senior Data Scientist (Marketing)

Huuuge·EU·Warszawa , Mazowieckie, Poland·senior
data science
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At Huuuge Games , we build top-grossing mobile games that bring people together through fun and social experiences - and our data is what powers it all. As a Senior Data Scientist , you'll join an embedded team operating at the intersection of marketing and data science: sitting within the marketing function while collaborating closely with a group of highly skilled, curious, and driven data scientists who work with leading-edge tools, shape best practices, and transform data into real business impact. You'll be at the center of our data-driven marketing transformation — working on decisions that reach millions of players worldwide, from player behavior modeling to large-scale personalization systems. This is a role with real autonomy, real stakes, and genuinely interesting problems. If you're excited by meaningful work, a team that pushes the craft forward, and the chance to build something that scales globally - this is where you want to be. We are an in-office-first company and operate in a hybrid model (3 days from the office). How will you make an impact with us? As a Senior Data Scientist embedded in the Marketing team at Huuuge, you'll play a key role in shaping how we acquire players, invest our marketing budget, and measure success. Your work will directly influence strategic decisions, budget allocation, and our understanding of what drives sustainable growth. You'll be a trusted partner to Marketing stakeholders across UA, ASO, Creative, helping turn data into decisions and identifying opportunities before they become requests. You will: 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 attri

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