Data Scientist

Cyrillus; Lyon; Hybride; EUR 70 000 - 95 000; Plein temps

Résumé du poste

Bandai Namco Entertainment Europe is seeking a Lead Data Scientist to drive advanced analytics across games analytics, forecasting, and decision support.

You will design predictive models in Python, conduct deep statistical analyses, build player segments, develop NLP pipelines for feedback, and deliver self-service dashboards with Power BI using Snowflake and Microsoft Fabric. Remote-friendly and collaborative team environment.

Qualifications

• Experience designing and deploying predictive models in Python.
• Strong background in statistics, hypothesis testing, regression, time series.
• Experience with player analytics and live-ops insights is a plus.
• Ability to build and maintain self-service dashboards.

Responsabilités

• Lead predictive modeling initiatives and analytics roadmap.
• Model player behavior through segmentation and clustering.
• Develop NLP pipelines for player feedback and sentiment tracking.
• Leverage Snowflake and Fabric for data analysis, modeling, and delivery.
• Create automated dashboards using Power BI for stakeholders.

Connaissances

Python

ML frameworks

Statistical analysis

A/B testing

Data storytelling

Clustering

NLP

GenAI / LLMs

Snowflake

Microsoft Fabric

Power BI

Outils

Snowflake

Microsoft Fabric

Power BI

Python

Description du poste

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

Develop NLP-Powered Player Feedback Intelligence

• 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