ppPrime 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 (P2E) 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. /p pAs part of our Central Data Team, you will be the backbone of our intelligence, building the models and systems that power our international community. /p pWe are looking for ab Data Scientist /b who can build predictive models, recommendation systems, and experimentation frameworks to improve user engagement, LTV, and fraud detection in a high-scale product environment. bExperience in AdTech, Gaming, or similar industries is a strong plus. /b /p h3What You’ll Do /h3 ul liPredictive Targeting Personalization: Build recommendation engines that match the right offer (game/survey) to the right user at the right time to maximise user engagement. /li liUser Lifetime Value (LTV) Modeling: Develop models to predict long-term user value and churn, allowing us to optimize user acquisition spend. /li liFraud Anomaly Detection: Guard the ecosystem by building real-time systems to detect "farming," bot behavior, and VPN spoofing. /li liStatistical Rigor:



Serve as the internal consultant for experimentation (A/B testing) design, ensuring results are statistically significant and unbiased. /li liAdvanced Analytics: Move beyond descriptive reporting into diagnostic and predictive analytics. /li /ul h3What We’re Looking For /h3 ul lib3+ years of experience in Data Science /b, ideally within AdTech, Gaming, or FinTech. /li liCore Tech Stack: Expert proficiency in bPython /b(Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and bAdvanced SQL. /b /li libAdTech Knowledge: /b Familiarity with concepts likeb CPM, ROAS, Attribution, and Post-back loops. /b /li liStrong communication skills: Able to clearly explain findings, assumptions, and tradeoffs to both technical and non-technical audiences. /li liExperimental Design: Deep understanding ofb A/B testing in high-traffic environments /b where "noise" is high. /li libProduct Curiosity: /bYou don’t just build models; you want to understand the psychology of why a user clicks one game over another. /li /ul pbImportant: /b We are not considering freelancers working on multiple projects simultaneously. This is a bfull-time position /b for a dedicated Data Scientist who is ready to commit to a single product ecosystem and contribute meaningfully to its long-term success. /p /p #J-18808-Ljbffr

📌 Data Scientist (Italia)
🏢 Prime Insights
📍 Italia