Data Scientist, Ricochet Anti-Cheat (Call of Duty)
About The Position
The Data Scientist will help secure the Call of Duty franchise by producing structured insights, experiments, and analyses that improve Ricochet anti-cheat outcomes at scale. The role analyzes, investigates, and translates complex data to help detect, prevent, and respond to cheating across Call of Duty live titles, supporting fair play and competitive integrity. The Data Scientist partners with anti-cheat engineers, analysts, operations specialists, game designers, and producers to answer ambiguous questions, evaluate detections, measure model impact, and identify opportunities for anti-cheat initiatives. The role supports the wider Ricochet organization through consultation, data analysis and engineering, experimentation, dashboards, and executive-level reporting. It also contributes to the quality and transparency of anti-cheat data pipelines, metrics, analysis standards, and reporting practices. The position is based in either Sherman Oaks, California, or Vancouver, British Columbia, with an onsite schedule of four days per week. Work arrangements may change at the company's discretion to meet business needs.
Requirements
- At least 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.
- Working knowledge of experimentation methods, impact measurement, statistical analysis, and metrics development.
- Experience building or maintaining dashboards, reports, and repeatable analytical workflows for stakeholders.
- Master's degree or equivalent work experience in Data Science, Computer Science, Data Analysis, Statistics, or a related field.
- 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.
- 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.
- Clear communication with 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.
Nice To Haves
- 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.
- Familiarity with large data lake or warehouse environments such as Databricks, Snowflake, or similar platforms.
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 strategies for machine-learning projects that improve cheating detection, prevention, and response.
- Design and execute experiments and analyses to measure the impact of models, detections, interventions, and enforcement workflows on players and the business.
- Answer ambiguous questions with practical, evidence-based recommendations that help prioritize anti-cheat initiatives.
- Produce dashboards, recurring reports, and executive-level summaries communicating results, trends, impediments, and impact.
- Partner with game designers, engineers, producers, analysts, and operations teams to identify opportunities for anti-cheat improvements.
- Support validation of new anti-cheat detections and model changes before broader deployment, considering effectiveness and false-positive risk.
- Help 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.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 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
- Paid vacation
- Paid sick time
- Floating holidays
- Compassion and bereavement leaves
- Parental leave
- Mental health and wellbeing programs
- Fitness programs
- Free and discounted games
- Supplemental life and disability benefits
- Legal services
- ID protection
- Rental insurance
- Relocation assistance may be available if the Company requires a geographic move for the job
- Incentive compensation may be available but is not guaranteed
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
