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Tailor your resume to this Data Scientist, Ricochet Anti-Cheat (Call of Duty) role.
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About the Role
As a Data Scientist on the Ricochet Anti-Cheat team, you will analyze and investigate complex data to detect, prevent, and respond to cheating across Call of Duty titles, protecting the integrity of the online player experience and ensuring a level playing field.
Responsibilities
- Analyze gameplay telemetry, enforcement data, behavioral signals, and other large-scale datasets to investigate cheating patterns and anti-cheat outcomes.
- Collaborate on ETL, data analysis, and measurement strategy for machine-learning projects to enhance cheating detection, prevention, and response.
- Design and execute experiments and analyses to measure the impact of models, detections, interventions, and enforcement workflows.
- Answer ambiguous questions with evidence-based recommendations to help prioritize anti-cheat initiatives.
- Produce dashboards, recurring reports, and executive-level summaries to communicate results, trends, impediments, and impact.
- Partner with game designers, engineers, producers, analysts, and operations teams to identify new anti-cheat improvement opportunities.
- Support validation of new anti-cheat detections and model changes before broader deployment, considering effectiveness and false-positive risk.
- Improve the quality, consistency, and transparency of anti-cheat data pipelines, metrics, analysis standards, and reporting practices.
- Stay current on advances in anti-cheat technology, statistical analysis, experimentation, data science, and adversarial behavior analysis.
- Learn from senior team members, share knowledge with peers, and contribute to a culture of fairness, accountability, and continuous improvement in game security.
Requirements
- 3+ years of experience using data science to solve real-world problems with measurable impact on users and the business.
- Experience working with large data volumes for production, analytics, experimentation, or reporting purposes.
- Working knowledge of experimentation methods, impact measurement, statistical analysis, and metrics development.
- Experience building or maintaining dashboards, reports, and repeatable analytical workflows for stakeholders.
- Competence with Python, SQL, and PySpark for data analysis, data engineering, and production-scale workflows.
- Strong understanding of data analysis, statistics, experimentation, measurement design, and practical model evaluation.
- Familiarity with large data lake or warehouse environments such as Databricks, Snowflake, or similar platforms.
- Ability to synthesize multiple data sources into clear conclusions, recommendations, and decision-ready narratives.
- Practical understanding of data quality, ETL, schema evolution, and analytical reproducibility in large-scale environments.
- Ability to prioritize effectively across investigations, analyses, stakeholder requests, and long-term data science initiatives.
- Ability to communicate clearly with both technical and non-technical stakeholders, including concise documentation and executive-ready reporting.
- Strong analytical judgment, attention to detail, and ability to work through ambiguous problems with incomplete or noisy data.
- Ability to learn from senior team members and contribute to the growth and success of others on the team.
- Passion for multiplayer gaming and preserving competitive integrity.
- Experience developing agentic orchestration workflows that result in production outcomes.
- Experience with machine-learning-assisted detection systems, model monitoring, or adversarial behavior analysis.
- Experience with game telemetry, player behavioral analysis, or live-service game operations.
- Experience using SQL, Python, or scripting to automate repeatable analysis, anomaly detection, or reporting workflows.
- Familiarity with Call of Duty gameplay systems and mechanics, competitive multiplayer ecosystems, or common cheating methods.
- Video game enthusiasm and curiosity about how data can improve fairness and player trust.
Skills
- Python
- SQL
- PySpark
- Data Analysis
- Data Engineering
- Experimentation
- Statistical Analysis
- Measurement Design
- Model Evaluation
- ETL
- Data Quality
- Schema Evolution
- Analytical Reproducibility
- Dashboarding
- Reporting
- Machine Learning
- Adversarial Behavior Analysis
- Game Telemetry
- Player Behavioral Analysis
Location
- Sherman Oaks, CA
- Vancouver, BC
Work Type
- Onsite (four days per week)
Experience Level
- 3+ years of experience
Education Level
- Master's degree or equivalent work experience in Data Science, Computer Science, Data Analysis, Statistics, or a related field.
Salary/Compensations
- $88,700.00 - $164,080.00 Annual
Benefits
- Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance
- 401(k) with Company match, tuition reimbursement, charitable donation matching
- Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave
- Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others
- Relocation assistance (if applicable)
About the Company
- Activision Central Tech supports development studios and their titles, specializing in areas like big data, privacy and security, graphics, online services, and more. Central Tech is part of Activision, a global leader in interactive entertainment known for iconic franchises such as Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. Activision is committed to creating the most inclusive company and delivering fun, thrilling, and engaging entertainment experiences.
- Activision strives to create the most iconic brands in gaming and entertainment, delivering unrivaled gaming experiences. The company is home to beloved entertainment franchises and is dedicated to advancing gameplay with sophisticated technology. Activision aims to create the most inclusive company, recognizing that success comes from passionate, creative, and diverse teams.
Equal Opportunity
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics.
- We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com.