Data Scientist

Prime Insights; Meis; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Prime Insights is seeking a Data Scientist to build predictive models, recommendation systems, and experimentation frameworks that boost user engagement, LTV, and fraud detection in a high-scale environment. You will work within our Central Data Team to power our international ecosystem and contribute to strategic product decisions.

The role emphasizes strong Python/SQL engineering, collaboration with cross-functional teams, and a passion for translating data insights into measurable business

Formación

• 3+ years of experience in Data Science, ideally in AdTech, Gaming, or FinTech.
• Strong Python and SQL skills with experience in ML frameworks.
• Experience building predictive models and experimentation platforms.

Responsabilidades

• Build predictive models and recommendation systems to improve engagement and LTV.
• Develop real-time fraud detection and anomaly systems for high-scale environments.
• Lead A/B testing design and analysis ensuring statistically valid results.
• Translate data insights into actionable strategies for product growth.
• Collaborate with cross-functional teams to align analytics with business goals.

Conocimientos

Data Science

Communication

Experimental design

Herramientas

Python

Scikit-learn

XGBoost/LightGBM/CatBoost

PyTorch

SQL

Descripción del empleo

Descripción del trabajo

About Us

Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.

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.

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.