Data Scientist

Join our Global Commercial Organization’s Digital Merchandising team, where you'll drive data-informed strategies to optimize player engagement, acquisition, and merchandising performance across EA APP, Epic, Steam, Nintendo, Xbox, and PlayStation.

As a Data Scientist, you will analyze trends, build and maintain merchandising performance forecasts, provide strategic recommendations, and shape merchandising performance by working independently while collaborating across teams.

Key Responsibilities:

Merchandising Performance Forecasting

• Analyze historical data and player trends to develop accurate performance forecasts based on core KPIs.
• Oversee forecasting processes, lead reviews, and prepare insights for senior stakeholders.
• Collaborate cross-functionally to align objectives and provide actionable reports.

Performance Analysis & Insights

• Conduct in-depth analysis of partner channels (traffic, engagement, conversion rates).
• Leverage in-game insights to enhance merchandising strategies and player journeys.
• Apply attribution models to measure marketing and merchandising impact.
• Address gaps in full-journey metrics with actionable insights.

Channel Strategy Optimization

• Evaluate and enhance channel-specific merchandising strategies to drive reach, engagement, and conversions.
• Leverage A/B testing and player segmentation to maximize performance.

Data Visualization & Storytelling

• Transform complex data into clear, actionable insights for senior leadership.
• Build compelling reports and dashboards using Looker, Tableau, or Power BI.
• Communicate the impact of merchandising decisions through strong presentation skills.

Advanced Technical & AI Skills

• Deep Learning & Predictive Analytics – Leveraging AI-driven insights to enhance merchandising strategies.
• NLP & Text Analytics – Analyzing user reviews, in-game behavior, and store feedback for actionable insights.
• Big Data Processing – Hands-on experience with Spark, Databricks, or Snowflake for large-scale data analysis.
• API Integration & Automation – Utilizing REST APIs, Python scripting, or JavaScript to optimize analytics workflows.

Project Ownership & Innovation

• Lead new projects to enhance merchandising performance, identifying opportunities for improvement.
• Develop analytics roadmaps, tools, and processes to propel business growth.

Qualifications

• 5+ years in analytics, focusing on merchandising, channel performance, or marketing in console gaming or digital platforms.
• Strong knowledge of Steam, Xbox, and PlayStation storefronts.
• Experience mentoring or managing other analysts.
• Proven ability to collaborate within a globally diverse organization.
• Proficiency in SQL, R Studio, Python, Excel, and Google Sheets.
• Expertise in data visualization tools (Looker, Tableau, Power BI).
• Experience in statistical modelling (e.g., regression, classification) and data engineering (pipelines, blending data sources).
• Familiarity with machine learning techniques.
• A growth-oriented, proactive mindset with the ability to thrive independently.
• Data storytelling & persuasive presentation – Crafting compelling narratives to influence senior leadership.
• Agile project management – Experience with JIRA, Confluence, or Scrum for effective project execution. Ownership and end-to-end execution of projects with minimal oversight.
• Cross-cultural collaboration – Working efficiently within a globally distributed team with diverse market needs.
• Experience with Looker, Airtable, JavaScript for integrating analytics into merchandising workflows represents an advantage.