Data Scientist

Bandai Namco Entertainment Europe; Lyon; Sur place; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Teleworking 2 days/week

Lunch vouchers

Transportation reimbursement

Facilities: gym, gaming & nap rooms

Résumé du poste

Bandai Namco Entertainment Europe is seeking a Lead Data Scientist to drive advanced analytics across the portfolio. You will build predictive models, conduct deep analyses, and generate high-impact business insights to support strategic decisions.

The role focuses on in-game behavioral analytics, NLP for player feedback, and reporting via Power BI. Hybrid collaboration with the Editorial & Content Intelligence department in Lyon, France.

Qualifications

• 5+ years in data science or advanced analytics, ideally in video games or entertainment.
• Master’s degree in Business, Economics, Statistics, Econometrics, Computer Science, or Engineering.
• Proven track record deploying predictive models or advanced statistics that influenced decisions.
• Experience with in-game data analysis and behavioral player data is a plus.
• Fluent in English (spoken and written).

Responsabilités

• Lead design, development, and deployment of predictive models using Python and ML frameworks.
• Conduct advanced statistical analyses and time-series/causal inference work.
• Build player segmentation and behavioral analytics models and insights.
• Develop NLP pipelines and sentiment analysis to summarize player feedback at scale.

Formation

Master

Outils

Python

SQL

Snowflake

Power BI

Microsoft Fabric

LLMs/API

Description du poste

Bandai Namco Entertainment Europe is a leading global publisher, developer and distributor of entertainment content for platforms including, but not limited to, all major video game consoles and PC.

Part of the Japanese Bandai Namco group, we are known for bringing many entertainment's top franchises to market such as PAC-MAN™, GUNDAM™, TEKKEN™, ACE COMBAT™, DARK SOULS™, and ELDEN RING™, as well as European led projects such as LITTLE NIGHTMARES™.

Bandai Namco Entertainment Europe has 15 international offices with operations in 50 countries and is headquartered in Lyon, France’s capital of gastronomy, located at the intersection of two rivers, creating a lively peninsula at its center.

Our company's motto is ‘Fun for all into the future’, join Bandai Namco Entertainment Europe’s family now to be part of that journey!

Job Description

Within the Editorial & Content Intelligence department, the Data Scientist brings advanced data science expertise to several dimensions of video games analytics. The role focuses on building predictive models, conducting deep statistical analyses, and generating high-impact business insights that support strategic decision making across Bandai Namco Entertainment Europe’s portfolio.

Your main responsibilities will include (non-exhaustive list):

Lead Data Science & Advanced Analytics Initiatives

• Design, develop, and deploy predictive models using Python and machine learning frameworks
• Conduct advanced statistical analyses: hypothesis testing, regression modeling, time series analysis, causal inference, and cohort-based studies
• Build player segmentation models using clustering and behavioral analysis

Manage In-Game Behavioral Analytics

• Support the appropriate events definition and tag plan
• Analyze player behavioral data to generate post-launch and live-ops insights
• Support A/B testing design and interpretation for in-game features and content updates
• Work alongside the team to ensure data quality and analytical consistency on in-game datasets housed in Snowflake
• Design and build NLP pipelines to collect, process, and analyze player feedback at scale from multiple sources
• Develop sentiment analysis models to track player satisfaction trends
• Leverage LLMs and GenAI for feedback summarization and classification

Shape the Analytics Strategy & Platform Usage

• Contribute to the analytics roadmap by identifying where advanced modeling and automation can improve existing processes
• Leverage Snowflake and Microsoft Fabric as core platforms for data analysis, model development, and insight delivery
• Promote best practices in statistical rigor, reproducibility, and documentation

Create Impactful Reporting & Data Visualizations

• Develop automated dashboards and reports using Power BI and Microsoft Fabric
• Enable stakeholder autonomy through well-documented, self-service dashboards and data literacy support

Candidate

• 5+ years in a data science or advanced analytics role, ideally within the video games or entertainment industry
• Master’s degree in Business, Economics, Statistics, Econometrics, Computer Science, or Engineering
• Proven track record of deploying predictive models or advanced statistical analyses that drove measurable business decisions
• A first experience with in-game data analysis is expected (even partial or project-based), demonstrating the ability to work with behavioral player data
• Fluent in English (spoken and written)
• Genuine interest in video games and in using data to support decisions
• Solid Python skills for data analysis and modeling (pandas, NumPy, scikit‑learn, statsmodels, matplotlib/seaborn, Jupyter)
• Comfortable using LLMs and GenAI APIs
• Experience with modern data platforms: advanced SQL, Snowflake, and Microsoft Fabric (lakehouse, notebooks, Power BI integration)
• On Power BI, ability to build dashboards with DAX measures, data modeling, and interactive visuals
• Strong command of statistical methods: hypothesis testing, regression, A/B testing, causal inference, Bayesian approaches
• Experience in player or customer analytics: segmentation, LTV modeling, churn prediction, funnel and cohort analysis
• Good understanding of video game business models (premium, F2P, GaaS), player lifecycle and market dynamics
• Strong organizational skills and ability to manage multiple projects simultaneously
• Team-oriented, with strong interpersonal and communication skills

Additional information

Job location: 15 rue Félix Mangini, 69009 Lyon – France / This position is not eligible to full remote

Contract: permanent / full-time

Remuneration: fixed and variable compensation

Benefits: flexible working hours, 2 teleworking days per week, lunch vouchers, reimbursement of public transportation costs, work council advantages (gift vouchers, discount on services...), nice building with various facilities (gym room, gaming room, nap room, car / bike / scooter parking, cafeteria and coffee corners…)