Data scientist

07 ago - Italia
Prime Insights

Prime Insights is a Sweden-based technology company reaching millions of diverse users through our proprietary Market Research Panel. Beyond our world-class Market Research Panel, we are scaling our Offerwall and Play-to-Earn (P2 E) ecosystems. We connect millions of users to games and products they love, leveraging sophisticated targeting to ensure high engagement for advertisers and maximum rewards for our users. As part of our Central Data Team, you will be the backbone of our intelligence, building the models and systems that power our international community. We are looking for a Data Scientist who can build predictive models, recommendation systems, and experimentation frameworks to improve user engagement, LTV, and fraud detection in a high-scale product environment. Experience in Ad Tech, Gaming, or similar industries is a strong plus. What You'll Do Predictive Targeting & Personalization: Build recommendation engines that match the right offer (game/survey) to the right user at the right time to maximise user engagement. User Lifetime Value (LTV) Modeling:



Develop models to predict long-term user value and churn, allowing us to optimize user acquisition spend. Fraud & Anomaly Detection: Guard the ecosystem by building real-time systems to detect "farming," bot behavior, and VPN spoofing. Statistical Rigor: Serve as the internal consultant for experimentation (A/B testing) design, ensuring results are statistically significant and unbiased. Advanced Analytics: Move beyond descriptive reporting into diagnostic and predictive analytics. What We're Looking For 3+ years of experience in Data Science , ideally within Ad Tech, Gaming, or Fin Tech. Core Tech Stack: Expert proficiency in Python (Scikit-learn, XGBoost/Light GBM/Cat Boost, Py Torch) and Advanced SQL. Ad Tech Knowledge: Familiarity with concepts like CPM, ROAS, Attribution, and Post-back loops. Strong communication skills: Able to clearly explain findings, assumptions, and tradeoffs to both technical a

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