Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$89к-164к/год
$120к$150кмедиана$180к
По похожим ролям (49) ~ $150к/год
На СНГ рынке: $3.6к/мес ($2.7к - $4.4к)
87
Хорошая вакансия
развернуть
У роли чёткий профиль в data science, задачи на production-масштабе и значимая миссия по борьбе с читерством в крупной игровой студии; обязательная работа в офисе четыре дня в неделю ограничивает гибкость и выбор места.
Кликните для подробной информации
Офисный форматАктуальный стекПонятные задачиЗащита игр
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist, Ricochet Anti-Cheat (Call of Duty) (Gaming/Anti-Cheat): Analyzing gameplay telemetry, enforcement data, behavioral signals, and large-scale datasets to detect and prevent cheating in Call of Duty with an accent on experimentation, statistical analysis, and machine-learning-assisted detection. Focus on validating anti-cheat models, measuring interventions, improving data pipelines, and communicating actionable findings to technical and executive stakeholders.
Location: Onsite four days per week in Sherman Oaks, California, United States, or Vancouver, British Columbia, Canada. Work arrangements may change according to business needs.
Salary: $88,700–$164,080 annual base pay in the United States, plus possible incentive compensation.
Company
hirify.global develops and publishes interactive entertainment franchises, with hirify.global Central Tech supporting game studios through big data, security, infrastructure, online services, and research.
What you will do
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 supporting cheat detection, prevention, and response.
Design experiments and analyses to measure the impact of models, detections, interventions, and enforcement workflows.
Validate new anti-cheat detections and model changes, considering effectiveness and false-positive risk.
Build dashboards, recurring reports, executive-level summaries, and repeatable analytical workflows.
Partner with anti-cheat engineers, analysts, operations specialists, game designers, producers, and other stakeholders to prioritize improvements.
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.
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.
Familiarity with large data lake or warehouse environments such as Databricks, Snowflake, or similar platforms.
Ability to synthesize multiple data sources into clear recommendations, maintain data quality and reproducibility, prioritize effectively, and communicate with technical and non-technical stakeholders.
Strong analytical judgment, attention to detail, ability to work through ambiguous problems with incomplete or noisy data, and passion for multiplayer gaming and competitive integrity.
Nice to have
Experience developing agentic orchestration workflows resulting in production outcomes.
Experience with machine-learning-assisted detection systems, model monitoring, adversarial behavior analysis, 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, competitive multiplayer ecosystems, or common cheating methods.
Video game enthusiasm and curiosity about how data can improve fairness and player trust.
Culture & Benefits
Work with engineering and research talent supporting game development and online services.
Culture focused on fairness, accountability, knowledge sharing, diversity, and continuous improvement.
Benefits may include medical, dental, vision, healthcare spending accounts, life and disability insurance, and a 401(k) with company match.
Paid holidays, vacation, sick time, parental leave, bereavement leave, mental health programs, fitness programs, tuition reimbursement, and charitable donation matching.
Relocation assistance may be available when the company requires a geographic move for the role.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →