About Us
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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.
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 AdTech, 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 AdTech, Gaming, or FinTech.
Core Tech Stack: Expert proficiency in
Python
(Scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch) and
Advanced SQL.
AdTech 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 and non-technical audiences.
Experimental Design: Deep understanding of
A/B testing in high-traffic environments
where \"noise\" is high.
Product Curiosity:
You don’t just build models; you want to understand the psychology of why a user clicks one game over another.
How to Apply
Use the
Easy Apply
button.
Important:
We are not considering freelancers working on multiple projects simultaneously. xlwpduy This is a
full-time position
for a dedicated Data Scientist who is ready to commit to a single product ecosystem and contribute meaningfully to its long-term success.