Electronic Arts

As a part of the Data and Analytics team, you will be supporting some of the largest game titles on a cutting-edge project to find mathematically vigorous new ways of getting games in hands. This team is fast-paced, and passion driven, and requires a Data Scientist that is flexible to drive value, work in an agile environment, and who wants to make an immediate impact.

You will report to a Senior Data Scientist under a Director, Data Science. Our team's mandate covers many parts of the player journey from acquisition to churn prevention, and together we will make a pioneering impact in these areas.

This will evolve into a hybrid position with 3 days in office each week.

Responsibilities:

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

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

• Transform adhoc requests into well-defined technical problems which you will then solve.

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

Qualifications:

• 3+ years relevant professional experience or a degree in a quantitative field, including but not limited to physics, engineering, mathematics, computer science, and economics.

• Proficient at git, Python and SQL.

• Experience working with cloud databases such as Google BigQuery and Snowflake.

• Experience building Looker and Tableau dashboards.

• Experience using xgboost, scikit-learn or other Python machine learning libraries.

• Comfortable working remotely with a multi-functional team, understanding the perspectives of each partner

• Experience working in an Agile development environment and familiar with process management tools such as JIRA, Target process, Trello or similar

Nice-to-haves:

• Experience with casual inference e.g., fixed effects, diff-in-diff and other machine learning methods.

• Experience with container technologies e.g., Docker and Kubernetes.

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). 

PAY RANGES

In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.