Electronic Arts

You will report to a Senior Data Scientist under a Director, Data Science. As part of a central analytics org, we will work together on challenging projects regarding Life Cycle Management of EA games. Our team's mandate covers many parts of the player journey from acquisition to churn prevention, and together we will make pioneering impact in these areas.

This will be a fully remote position.

Responsibilities:

• Build statistical and machine learning models to predict the Life Time Value of HD cohorts, and deploy said models by collaborating with data engineers.

• Produce dashboards or other visual reporting to share results with non-technical partners.

• Support other team efforts including the set up and analysis of incrementality, A/B tests.

Qualifications:

• Proficient at git, Python and SQL.

• 3+ years of experience working with cloud databases such as Google BigQuery and Snowflake.

• 1+ years of experience building Looker and Tableau dashboards.

• 1+ years of experience using xgboost, scikit-learn or other Python machine learning libraries.

• Experience with casual inference methods e.g., fixed effects, diff-in-diff preferred.