Data Scientist

Prime Insights; Navarra; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Prime Insights is a Sweden-based technology company expanding its Market Research Panel and Play-to-Earn ecosystems. As part of the Central Data Team, you will build predictive models, recommendation systems, and experimentation frameworks to boost user engagement and revenue, while detecting fraud in a high-scale product environment.

The role requires 3+ years of Data Science experience, strong Python and SQL skills, and knowledge of CPM/ROAS concepts.

Formación

• 3+ years of Data Science experience in AdTech, Gaming, or FinTech.
• Proficient with Python ML stack and SQL.

Responsabilidades

• Predictive Targeting & Personalization: Build recommendation engines to match offers to users to maximise engagement.
• User Lifetime Value (LTV) Modeling: Develop models to predict long-term value and churn.
• Fraud & Anomaly Detection: Build real-time systems to detect farming, bot behavior, and VPN spoofing.
• Statistical Rigor: Design and evaluate experimentation (A/B testing) with statistical significance.
• Advanced Analytics: Move beyond descriptive reporting to diagnostic and predictive analytics.

Conocimientos

3+ years of Data Science experience

AdTech/FinTech/Gaming domain knowledge

Strong communication skills

Experimental design / A/B testing

Product curiosity

Herramientas

Python

Scikit-learn

XGBoost/LightGBM/CatBoost

PyTorch

SQL

PostgreSQL

Descripción del empleo

Descripción del trabajo

About Us

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.

Important: We are not considering freelancers working on multiple projects simultaneously. 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.