Data Scientist

Electronic Arts (EA); Vancouver; Hybrid; CAD 96,000 - 134,000; Full time

Job summary

A leading company in entertainment seeks a Data Scientist to enhance player experience through data-driven insights. Your work will involve building predictive models and analytics dashboards, collaborating in a fast-paced team to drive game engagement. Join us if you're passionate about making an immediate impact.

Benefits

3 weeks vacation per year

10 days sick leave per year

Maternity and parental leave top-up

Health/dental/vision coverage

Life and disability insurance

Retirement plan

Potential for bonus and equity

Qualifications

• 3+ years relevant professional experience or a degree in a quantitative field.
• Proficient in Python, SQL, and statistical modeling.
• Experience with Looker and Tableau dashboards.

Responsibilities

• Build statistical and machine learning models to predict player cohort values.
• Produce dashboards to share results with non-technical partners.
• Transform adhoc requests into technical problems.

Skills

Python

SQL

Statistical Modeling

Machine Learning

Data Visualization

Agile Methodology

Education

Degree in a quantitative field

Tools

Looker

Tableau

Google BigQuery

Snowflake

Git

Job description

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

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

• British Columbia (depending on location e.g. Vancouver vs. Victoria) * $96,400 - $133,900 CAD
  
  

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.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.