Data Scientist

Job Description

We are looking for a talented, self-motivated Data Scientist within the EA Mobile Central Analytics team. This is a critical position that will work with stakeholders on both central and studio teams to drive key strategic data initiatives across EA's Mobile portfolio, to not just transform how we think about data at EA but also to drive both games and central stakeholders to success. He/She will own and drive analytical initiatives to plan, design, and build data products, game telemetry, optimize player journey with next best action and enrichment pipelines that will enable and empower data democratization within EA Mobile.

What this person will do:
• Work with cross-functional stakeholders to understand problem statements and to build optimal data solutions/products with a clear set of realistic, achievable objectives that will address the underlying business challenges
• Leveraging various analysis and forecasting techniques (e.g. prescriptive and predictive), model trends in our data to make actionable recommendations to impact EA Mobile's cross portfolio-level decisions along with bringing improvement in existing methodologies
• Partner with game team analysts and BI/Engineering to build scalable dashboards and data pipelines that can be easily maintained by our BI tool (Looker, Tableau) and automate workflows
• Support analytical processes to build out state-of-the-art data products including data table/schemas creation, ETL monitoring and reports generation
• Develop detailed knowledge of the underlying data assets and data products and provide subject matter expertise on content, current and potential future uses of data
• Develop and deploy cross-portfolio data products to enable and empower data-informed decision making within our Mobile portfolio

Experience Background:
• Bachelor's degree or above in the field of Business Analytics, Statistics, Applied Math or related field
• 4+ years experience in data analysis, analytics, data science or business intelligence
• High proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
• Experience with programming language (e.g. R and Python) and BI tools (e.g. Looker, R Shiny, Tableau)
• Experience with exploratory data analysis, prototyping, testing hypotheses, performing root cause analyses, modeling business processes, building forecasts, creating predictive models, defining metrics, and/or measuring business performance
• Experience in data modeling, ETL processes, big data, and data warehousing
• Experience with developing in Python or a similar language in modern ETL frameworks, such as Airflow, is a strong nice to have
• Passion for games is nice to have

Jobcode: Reference SBJ-d2nevm-18-119-104-238-42 in your application.