# Decision Scientist **Company**: Electronic Arts **Location**: Vancouver, British Columbia **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $104,500 - $142,800 CAD **Category**: Data Science **Industry**: Technology **Ticker**: EA **Wikidata**: https://www.wikidata.org/wiki/Q173941 **Apply**: https://jobs.ea.com/en_US/careers/JobDetail/Decision-Scientist/214951?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_4ea8f719-8f1 ## Description 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 Decision Scientist, you will transform complex data into actionable insights that improve fan experiences and support business decisions. Working with large-scale gaming and customer datasets, you'll partner with teams across EA to solve business challenges using statistical analysis, experimentation, and machine learning. ### Responsibilities - Analyze structured and unstructured datasets to identify trends and business insights. - Build, validate, and improve predictive and prescriptive models using Python or R. - Design and evaluate experiments to measure product and business outcomes. - Develop dashboards and visualizations that communicate analytical findings. - Partner with cross-functional teams to translate business questions into analytical solutions. - Present recommendations through clear visualizations and business-focused storytelling. - Apply responsible AI practices, including model validation, fairness, and bias monitoring. ### Required Qualifications - Master's degree in Statistics, Operations Research, Data Science, or a related field; equivalent experience considered. - Experience using Python or R for statistical analysis and modeling. - Experience with SQL and relational databases. - Experience using visualization tools such as Tableau, Streamlit, or RShiny. - Experience applying statistical methods to business problems. ### Core Skills and Experience - 2+ years applying statistical modeling in a business environment. - Experience preparing, analyzing, and interpreting large datasets. - Knowledge of experimentation and causal inference methods. - Experience communicating analytical findings through dashboards and presentations. - Familiarity with Git and cloud-based analytical environments. **Pay Transparency - North America** 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) $104,500 - $142,800 CAD Pay is just one part of the overall compensation at EA. For Canada, 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. ## Skills ### Required - Python - R - SQL - Tableau - Streamlit - RShiny - Git - cloud-based analytical environments - statistical analysis - machine learning - experimentation - causal inference methods --- Source: [Apply at jobs.ea.com](https://jobs.ea.com/en_US/careers/JobDetail/Decision-Scientist/214951?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)