DESIGNER GRAPHISTE

OGEU GROUPE; Estialescq; Hybride; EUR 50 000 - 58 000; Plein temps

Résumé du poste

A gaming company is seeking a Senior Data Scientist to enhance data-driven decision-making. This role involves creating machine learning models, optimizing user acquisition, and developing dashboards. Candidates should have 4+ years of experience in data science, SQL proficiency, and solid Python skills. The position offers hybrid work, flexible hours, and company perks, with a median salary of €50,000 per year.

Prestations

Hybrid work: 3 days remote per week

Flexible working hours with a 4.5-day week option

Opportunity to become a shareholder

Lunch card: €8/day, 50% covered by the company

Access to sports equipment in the office

Training & conferences supported

Quarterly/Monthly team lunches

Qualifications

• 4+ years of experience in data science, with a strong foundation in machine learning and statistical modeling.
• Experience with LTV prediction, retention modeling, or similar applications in gaming.
• Strong proficiency in SQL and experience with BigQuery, dbt, or other modern data stack tools.

Responsabilités

• Develop and maintain machine learning models for predicting LTV, churn, and player segmentation.
• Collaborate with the user acquisition team to optimize acquisition spend and improve ROAS predictions.
• Create intuitive dashboards and reports using Looker Studio.

Connaissances

Machine learning

Statistical modeling

SQL

Python

Data visualization

Collaboration with non-technical stakeholders

Fluent in English

Knowledge of French

Outils

BigQuery

Looker Studio

dbt

Tableau

Description du poste

Overview

Your Mission: As a Senior Data Scientist, you’ll be at the core of our data-driven decision-making process. You’ll use machine learning to forecast player behavior, especially lifetime value, and build tools and dashboards that bring our game and user acquisition data to life. You’ll work closely with game designers and marketing managers, helping them make smarter decisions grounded in data.

Responsibilities

• Develop and maintain machine learning models for predicting LTV, churn, and player segmentation
• Collaborate with the user acquisition team to optimize acquisition spend and improve ROAS predictions using model insights
• Partner with game designers to analyze gameplay data, identify opportunities for improvement, and support A/B testing and feature iteration
• Create intuitive, actionable dashboards and reports, using Looker Studio or similar, to surface key insights across the company
• Design and interpret experiments to validate hypotheses and measure feature impact
• Help define and improve the data modeling layer, using dbt and BigQuery, to support analytics and ML use cases

Requirements

You Have

• 4+ years of experience in data science, with a strong foundation in machine learning and statistical modeling
• Experience with LTV prediction, retention modeling, or similar applications in gaming
• Strong proficiency in SQL and experience with BigQuery, dbt, or other modern data stack tools
• Solid Python skills for building and deploying ML models
• Comfort working with visualization tools like Looker Studio, Tableau, or similar
• A deep understanding of data from mobile games, apps, or B2C consumer products
• Experience collaborating cross-functionally with non-technical stakeholders
• Fluent in English, knowledge of French is a plus

If you’re excited by the idea of working cross-functionally and translating between business needs and technical solutions, you’re in the right place.

Perks

• Special Perks – Hybrid work: 3 days remote per week
• Flexible working hours with the option of a 4.5-day week
• Opportunity to become a shareholder of the company
• Lunch card: €8/day, 50% covered by the company
• Access to sports equipment in the office
• Training & conferences supported to help you grow
• Quarterly/Monthly team lunches and a Christmas gift card
• …and more!

Recruitment Process

We care about making this first exchange a meaningful one:

• Initial phone call with Isabelle Merley, our Talent Manager Acquisition, to understand your background and walk you through the process
• Interview with William our Lead Data Analyst, to align on expectations and vision
• Case study to assess your problem-solving and strategic thinking
• Discussion with Omar, a Data Analyst of the Business Intelligence team
• Final interview with Charles our CMO

Additional Information

Contract: Full-time, based in Lyon, Paris, or remotely

Start date: As soon as possible

Median Salary: €50,000 per year