Data Science Expert.
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Role details
Tech stack
Job description
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 (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.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.Serve as the internal consultant for experimentation (A/B testing) design, ensuring results are statistically significant and unbiased.3+ years of experience in Data Science, ideally within AdTech, Gaming, or FinTech.~ Core Tech Stack: Expert proficiency in Python (Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and Advanced SQL.~ Experimental Design: Deep understanding of A/B testing in high-traffic environments where "noise" is high.~ you want to understand the psychology of why a user clicks one game over another.#
Requirements
3+ years of experience in Data Science, ideally within AdTech, Gaming, or FinTech. ~ Core Tech Stack: Expert proficiency in Python (Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and Advanced SQL. ~ Experimental Design: Deep understanding of A/B testing in high-traffic environments where "noise" is high. ~ you want to understand the psychology of why a user clicks one game over another.
About the company
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 (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. 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.
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