About the role
Office Location and Hybrid Policy
- Based on-site at the Demonware Vancouver office.
- Hybrid schedule: 4 days per week in the office.
- Relocation package may be available depending on eligibility.
About Demonware
- A member of the Activision family of studios.
- Partners with engineers and creatives across AAA game studios to deliver online and data services for franchises including Call of Duty and Crash Bandicoot.
- Technology stack includes: Python, C++, Java, Linux, MySQL, Erlang, and Kubernetes.
- Cultivates a small-company culture with big-company challenges.
Co-op Program Requirements
- Currently enrolled in a post-secondary or graduate program.
- Expected graduation between December 2027 – June 2029.
- Available for a 7-month, in-person co-op starting January 2027.
- Clear written and verbal communication.
- Strong debugging, analytical, and problem-solving skills.
- Resume and transcript required.
- Completion of an automated coding assessment is required as part of the interview process.
The Role
- Partner closely with the Product team to drive data-informed decision-making.
- Analyze and interpret data from various systems, including fraud analysis, disruptive behavior, and prosocial behavior in gaming communities.
- Build, maintain, and improve dashboards and reports to inform strategy.
- Identify and interpret trends and anomalies in data to support product strategy.
- Filter, clean, and validate data to ensure accuracy and reliability.
- Present findings and recommendations to the Product team and stakeholders.
- Surface insights to improve player experience and reduce fraud.
- Collaborate with Activision data science/machine learning teams and game studios.
Requirements
- Strong attention to detail.
- Proficiency in Structured Query Language (SQL).
- Ability to work collaboratively with multiple teams across Activision.
- Passionate about data and analytical mindsets to inform product decisions.
- Ability to conduct exploratory data analysis (EDA) and provide insights into key metrics.
- Proactive attitude and eagerness to learn.
- Strong communication skills with the ability to present findings in a clear, actionable way.
- Ability to work well autonomously, as part of a larger team, and asynchronously.
Nice-to-haves
- Experience with Tableau.
- Experience with proposing and running experiments.
- Basic understanding of Machine Learning techniques for data analysis and data science modeling.
- Understanding of REST.
- Knowledge of Big Data technologies such as Spark.
- Experience in using project management tools.
How to Stand Out
- Highlight specific contributions on previous work or projects.
- Include Linux experience (school, personal, or home projects).
- Note programming-related hobbies or personal projects.
- Include notable school assignments.
- Mention open-source contributions.
- Provide links to code repositories, portfolios, or technical blogs.
Compensation and Rewards
- Standard base pay range: 45,202.50 - 95,655.00 CAD annually.
- Employees may be eligible for incentive compensation (not guaranteed).
- Extended health plan (medical, dental, vision, life, AD&D, disability).
- RRSP with company match.
- Tuition reimbursement and charitable donation matching.
- Paid holidays, vacation, sick time, compassion/bereavement leaves, and parental leave.
- Mental health and wellbeing programs, fitness programs, free/discounted games, and supplemental benefits (legal service, etc.).
Office Perks
- Complimentary breakfast, lunch, and drinks from a fully stocked kitchen.
- BBQs and Lunch & Learns.
- City-center office location.
- Vacation allowance.
- Free games.