Jobs · Engineering · California

Data Scientist, Ricochet Anti-Cheat (Call of Duty)

Activision Blizzard · Los Angeles, California, United States · 1 mo ago
On-siteEngineering$89k–$164k/yrFull-time
We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate, navigation, EEO, etc. Must preserve all substantive info. We need to parse the job description and extract sections. Let's identify content: - About the role / mission: The first paragraphs: "Your Mission ..." and "The Role ..." maybe combine as About the role. - Responsibilities: bullet list of duties: "Analyze gameplay telemetry...", "Collaborate on the ETL...", "Design and execute experiments...", "Answer ambiguous questions...", "Produce dashboards...", "Partner with game designers...", "Support validation...", "Help improve the quality...", "Stay current on advances...", "Learn from senior team members...". Those are responsibilities. - Requirements / Qualifications: "Minimum requirements: 3+ years of experience...", "Experience working with large data volumes...", "Working knowledge of experimentation methods...", "Experience building or maintaining dashboards...". Also "Master's degree or equivalent work experience...". Also "Competence with Python, SQL, and PySpark...". Also "Strong understanding of data analysis, statistics...". Also "Familiarity with large data lake or warehouse environments...". Also "Ability to synthesize multiple data sources...". Also "Practical understanding of data quality, ETL...". Also "Ability to prioritize effectively...". Also "Key Attributes" list: communication, analytical judgment, ability to learn, passion for multiplayer gaming. - Skills: maybe separate but could be part of qualifications. The posting includes "Knowledge & Skills" sections: Master's degree..., Competence with Python..., Strong understanding..., Familiarity..., Ability to synthesize..., Practical understanding..., Ability to prioritize... Also "Extra Points Experience" and "Knowledge & Skills" again: Experience developing agentic orchestration workflows..., Experience with ML-assisted detection..., Experience with game telemetry..., Experience using SQL..., Familiarity with Call of Duty gameplay..., Key Attributes: Video game enthusiasm... - Benefits: There's a "Rewards" section describing benefits: medical, dental, vision, HSA/HRA, 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; relocation assistance if required. - Pay: "In the U.S., the standard base pay range for this role is $88,700.00 - $164,080.00 Annual." Also mention incentive compensation not guaranteed. - Schedule: Not mentioned. So we should not include Schedule section. We must not include boilerplate like EEO, equal opportunity, accommodation request, etc. Also remove "General employment questions cannot be accepted..." etc. Also remove "Ready to Activate Your Future?" etc. Also remove "Your Platform Activision Central Tech..." maybe that's not substantive? It describes company but could be considered about the company. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "Your Platform Activision Central Tech..." is not boilerplate but maybe considered company overview; could be kept as part of About the role? Might be considered substantive? It's describing the team. Might be okay to keep as part of About the role or a separate section like "About the team". But we only allowed headings from list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could put company overview under About the role. That seems fine. We must not invent sections. So we will produce:

About the role

... (mission and role description)

Responsibilities

  • ... each responsibility

Requirements

  • ... minimum requirements etc
Maybe separate Qualifications and Skills? The instruction says use headings for those categories if they exist. We have both Requirements and Qualifications and Skills. Could combine Requirements and Qualifications into one? But better to follow typical: Requirements (experience), Qualifications (education/skills), Skills (technical). However we have overlapping. Let's decide: - Requirements: Minimum experience (3+ years), experience with large data volumes, experimentation methods, building dashboards. - Qualifications: Master's degree or equivalent, competence with Python, SQL, PySpark, strong understanding of data analysis, stats, experimentation, familiarity with data lake/warehouse, ability to synthesize, practical understanding of data quality/ETL, ability to prioritize. - Skills: Communication, analytical judgment, attention to detail, ability to learn, passion for multiplayer gaming, plus extra points: agentic orchestration, ML-assisted detection, game telemetry, scripting automation, familiarity with Call of Duty gameplay, video game enthusiasm. But the posting lumps many under "Knowledge & Skills" and "Key Attributes". We could treat "Skills" heading for both technical and soft skills. Simplify: Use Requirements for experience, Qualifications for education/technical baseline, Skills for additional desired skills/attributes. We must not create sections with filler. All have content. Now Benefits: we have a detailed list. Pay: we have base pay range and incentive compensation note. Now produce HTML. We must not include any markdown fences. Just raw HTML. Let's craft. About the role paragraph: combine mission and role description. Mission: "Call of Duty is one of the most iconic and successful video game franchises in the world, delivering unforgettable experiences to millions of players every day. At the heart of that experience is fair play, and that is where the Ricochet Anti-Cheat team comes in. Our mission is to protect the integrity of the online experience, ensuring every player enjoys a level playing field." Role description: "As a Data Scientist on Ricochet, you will analyze, investigate, and translate complex data into insights that help detect, prevent, and respond to cheating across Call of Duty live titles. We are seeking a Data Scientist to help secure the Call of Duty franchise by producing structured insights, experiments, and analyses that improve Ricochet anti-cheat outcomes at scale. In this role, you will partner with anti-cheat engineers, analysts, operations specialists, game designers, and producers to answer ambiguous questions, evaluate detections, measure model impact, and identify new opportunities for anti-cheat initiatives. You will support the broader Ricochet organization through consultation, data analysis, data engineering, experimentation, dashboards, and executive-level reporting. This role is ideal for someone who combines strong statistical and data science fundamentals with curiosity about adversarial player behavior, a passion for competitive integrity, and the communication skills to make complex findings actionable for technical and non-technical partners." We can combine into one

. Now responsibilities list: each bullet from "What You Bring To The Table" (the list of duties). Let's extract each sentence ending with period. - Analyze gameplay telemetry, enforcement data, behavioral signals, and other large-scale datasets to investigate cheating patterns and anti-cheat outcomes. - Collaborate on the ETL, data analysis, and measurement strategy for machine-learning projects that enhance detection, prevention, and response to cheating. - Design and execute experiments and analyses that 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 Ricochet prioritize anti-cheat initiatives. - Produce dashboards, recurring reports, and executive-level summaries that clearly communicate results, trends, impediments, and impact. - Partner with game designers, engineers, producers, analysts, and operations teams to identify new opportunities for anti-cheat improvements. - Support validation of new anti-cheat detections and model changes before broader deployment, with attention to 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. Now Requirements: from "Minimum requirements:" bullet list. - 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. Now Qualifications: from "Knowledge & Skills" first block. - 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. - 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. Now Skills: from "Key Attributes" and "Extra Points Experience" and second "Knowledge & Skills". Key Attributes: - 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. Extra Points Experience: - 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. Knowledge & Skills (second): - 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. We can combine these under Skills. Now Benefits: from "Rewards" paragraph. We need to list benefits as

  • items. Benefits list: - 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 - If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. We could also mention eligibility varies for part-time etc but that's maybe boilerplate? It's substantive but could be included. However instruction: remove duplicated lines, but not necessary to remove eligibility note. We'll include a brief note: "Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company." Might be considered boilerplate but it's about benefits. I'd include as a sentence after list maybe. Now Pay: from "In the U.S., the standard base pay range for this role

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