Product Data Scientist

Product Data Scientist – Patrianna

At Patrianna, we’re scaling fast, building for impact, and moving with intent. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide.

As a Product Data Scientist, you’ll sit at the heart of product decision‑making, solving complex challenges and shaping experiences for millions of users. This role is for someone who thrives in ambiguity, embraces experimentation, and craves the thrill of seeing their work drive real‑world outcomes.

• Build and deploy machine learning models that tackle critical product problems—from recommendation engines and segmentation models to churn predictors—and partner with ML engineers to bring them to production.
• Apply causal inference methods and advanced experimental design to evaluate product initiatives, ensuring every decision is grounded in robust data.
• Develop scalable data models and pipelines that fuel analytics, experimentation, and personalization at scale.
• Collaborate at speed with product, design, and engineering to translate evolving business needs into actionable data science solutions.
• Provide clear, data‑backed product insights and uncover opportunities that drive user engagement and retention.
• Build behavioral models that power adaptive user experiences and surface key signals for product teams.

• Advanced degree (MSc/PhD) in a quantitative field such as Data Science, Computer Science, Statistics, or Applied Math.
• 3+ years of experience in a fast‑paced, product‑focused data science role.
• Expertise in at least one of recommendation systems, causal inference (e.g., uplift modeling), segmentation, or churn prediction.
• Strong knowledge of experimental methods (A/B tests, quasi‑experiments) and causal inference.
• Proficiency in Python and libraries such as pandas, scikit‑learn, PyTorch, Tensor Flow, or XGBoost.
• Skilled in SQL and data wrangling across large datasets.
• Experience with cloud‑based data platforms (AWS, GCP, or Azure).
• Excellent communication skills—able to influence non‑technical stakeholders and translate findings into action.
• Bias toward action: comfortable building in ambiguity and learning on the fly.

We’re building a place where data scientists can thrive—not by sitting on the sidelines, but by being embedded in the action. Your work will launch in real products, shift real metrics, and shape the way millions of people experience our platform. If you’re ready to move fast, learn relentlessly, and own your impact, we want to hear from you.

Seniority level:
Mid‑Senior level

Employment type:

Full‑time
Job function:
Engineering and Information Technology