Data Scientist, Ricochet Anti-Cheat (Call of Duty)
for each section heading. Use - for lists. Use
for prose.
We need to preserve all substantive info, not invent. Remove boilerplate like EEO, accommodation request, etc. Also remove "General employment questions cannot be accepted..." etc. Also remove "Ready to Activate Your Future?" etc. Also remove "Your Platform", "Our World" maybe not needed as they are fluff but could be considered About the role? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. "Your Platform" and "Our World" are not boilerplate but maybe not essential; but they are descriptive of company. Could be considered part of About the role? Might keep as prose under About the role? However we should not invent sections. We could include them under About the role as prose. But we must not create filler. The content about Activision Central Tech and Our World is substantive but not required; we can include as part of About the role.
We need to extract responsibilities: bullet points under "What You Bring To The Table" (actually those are duties). Also maybe under "The Role". We'll combine.
Let's parse:
Your Mission: description of mission.
The Role: description of role: partner with ... produce structured insights, experiments, analyses... support broader Ricochet organization through consultation, data analysis, data engineering, experimentation, dashboards, executive-level reporting. This role ideal for someone who combines...
What You Bring To The Table: list of duties (starting with Analyze gameplay telemetry...). That's a list.
Player Profile: Experience Minimum requirements: bullet list.
Knowledge & Skills: bullet list.
Key Attributes: bullet list.
Extra Points Experience: bullet list.
Knowledge & Skills (again): bullet list.
Key Attributes (again): bullet list.
Your Platform: description.
Our World: description.
Rewards: benefits and pay.
We need to avoid duplication. We'll consolidate.
Let's create sections:
About the role: combine Your Mission and The Role (maybe also Your Platform and Our World as extra context). We'll put prose.
Responsibilities: list from What You Bring To The Table (the bullet points). Also maybe include some from The Role? But we can keep as list.
Requirements: Minimum requirements from Player Profile (Experience). Could be separate.
Qualifications: Knowledge & Skills (first) maybe includes Master's degree etc.
Skills: maybe combine technical skills from Knowledge & Skills and Extra Points? But we need separate sections only if content. We'll have Skills: list of technical competencies (Python, SQL, PySpark, etc.) plus maybe familiarity with platforms.
Benefits: list from Rewards (benefits). Pay: pay range.
We must not include Schedule.
Now produce HTML.
We need to ensure we don't include boilerplate like "We are an equal opportunity employer..." etc. Remove that.
Also remove "If you are a disabled individual..." etc.
Also remove "General employment questions cannot be accepted..." etc.
Also remove "Ready to Activate Your Future?" etc.
Also remove "We love hearing from anyone..." etc.
Also remove "Research shows that women..." etc.
Also remove "We are committed to creating a diverse and inclusive environment..." etc.
Also remove "We are an equal opportunity employer..." etc.
Also remove "We do not discriminate..." etc.
Also remove "We are committed to working with..." etc.
Also remove "Thank you for your interest." etc.
Now craft.
Let's extract responsibilities list:
- 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 (minimum 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.
Qualifications (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.
Skills (maybe combine extra points and second knowledge & skills and key attributes). But we need to avoid duplication. Let's extract technical skills from 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.
Second Knowledge & Skills:
- Familiarity with Call of Duty gameplay systems and mechanics, competitive multiplayer ecosystems, or common cheating methods.
Key Attributes (first set):
- 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.
Second Key Attributes (Extra Points):
- Video game enthusiasm and curiosity about how data can improve fairness and player trust.
We could combine attributes into Skills section? But the instruction: Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we have Skills heading for skills. We'll put technical skills and maybe domain familiarity there. Attributes could be part of Skills or maybe we could include them under Skills as well. But we might also include them under Qualifications? However Qualifications already used for education and core competencies. We'll make Skills include both technical and domain-specific abilities and attributes.
Thus Skills list:
- 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.
- 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.
- 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.
- Video game enthusiasm and curiosity about how data can improve fairness and player trust.
But note some overlap with earlier qualifications; but it's okay to keep.
Now Benefits list from Rewards:
- 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.
- Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company.
We should keep as list items maybe each bullet a benefit category. Could break into separate
- for each line.
Pay: In the U.S., the standard base pay range for this role is $88,700.00 - $164,080.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
We'll put that as prose under Pay.
Now About the role: combine Your Mission and The Role and maybe Your Platform and Our World? But we might keep it short: Your Mission + The Role. We'll include prose.
Let's craft About the role paragraph:
"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
for prose. We need to preserve all substantive info, not invent. Remove boilerplate like EEO, accommodation request, etc. Also remove "General employment questions cannot be accepted..." etc. Also remove "Ready to Activate Your Future?" etc. Also remove "Your Platform", "Our World" maybe not needed as they are fluff but could be considered About the role? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. "Your Platform" and "Our World" are not boilerplate but maybe not essential; but they are descriptive of company. Could be considered part of About the role? Might keep as prose under About the role? However we should not invent sections. We could include them under About the role as prose. But we must not create filler. The content about Activision Central Tech and Our World is substantive but not required; we can include as part of About the role. We need to extract responsibilities: bullet points under "What You Bring To The Table" (actually those are duties). Also maybe under "The Role". We'll combine. Let's parse: Your Mission: description of mission. The Role: description of role: partner with ... produce structured insights, experiments, analyses... support broader Ricochet organization through consultation, data analysis, data engineering, experimentation, dashboards, executive-level reporting. This role ideal for someone who combines... What You Bring To The Table: list of duties (starting with Analyze gameplay telemetry...). That's a list. Player Profile: Experience Minimum requirements: bullet list. Knowledge & Skills: bullet list. Key Attributes: bullet list. Extra Points Experience: bullet list. Knowledge & Skills (again): bullet list. Key Attributes (again): bullet list. Your Platform: description. Our World: description. Rewards: benefits and pay. We need to avoid duplication. We'll consolidate. Let's create sections: About the role: combine Your Mission and The Role (maybe also Your Platform and Our World as extra context). We'll put prose. Responsibilities: list from What You Bring To The Table (the bullet points). Also maybe include some from The Role? But we can keep as list. Requirements: Minimum requirements from Player Profile (Experience). Could be separate. Qualifications: Knowledge & Skills (first) maybe includes Master's degree etc. Skills: maybe combine technical skills from Knowledge & Skills and Extra Points? But we need separate sections only if content. We'll have Skills: list of technical competencies (Python, SQL, PySpark, etc.) plus maybe familiarity with platforms. Benefits: list from Rewards (benefits). Pay: pay range. We must not include Schedule. Now produce HTML. We need to ensure we don't include boilerplate like "We are an equal opportunity employer..." etc. Remove that. Also remove "If you are a disabled individual..." etc. Also remove "General employment questions cannot be accepted..." etc. Also remove "Ready to Activate Your Future?" etc. Also remove "We love hearing from anyone..." etc. Also remove "Research shows that women..." etc. Also remove "We are committed to creating a diverse and inclusive environment..." etc. Also remove "We are an equal opportunity employer..." etc. Also remove "We do not discriminate..." etc. Also remove "We are committed to working with..." etc. Also remove "Thank you for your interest." etc. Now craft. Let's extract responsibilities list: - 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 (minimum 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. Qualifications (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. Skills (maybe combine extra points and second knowledge & skills and key attributes). But we need to avoid duplication. Let's extract technical skills from 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. Second Knowledge & Skills: - Familiarity with Call of Duty gameplay systems and mechanics, competitive multiplayer ecosystems, or common cheating methods. Key Attributes (first set): - 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. Second Key Attributes (Extra Points): - Video game enthusiasm and curiosity about how data can improve fairness and player trust. We could combine attributes into Skills section? But the instruction: Use