Associate Principal Data Scientist, Player Experience Analytics

Responsibilities

• Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment at scale.
• Develop and automate detection solutions for cheats, exploits, and violations with Game Security team.
• Serve as subject matter expert on Trust & Safety metrics, regulatory compliance, and transparency reporting.
• Design sophisticated detection systems balancing player safety with user experience using rule-based and ML approaches.
• Translate complex analytical findings into actionable insights for technical and non-technical audiences, including executives.
• Establish and monitor Trust & Safety and Anti-Cheat KPIs with dashboards enabling data-driven decisions.
• Mentor junior team members and advance analytical best practices.

Requirements

• Bachelor's in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred.
• 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety, or related domains.
• Strong SQL proficiency with large-scale databases.
• Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments.
• Required expertise in one: graph analytics for coordinated behavior, NLP for content moderation/toxicity, or network analysis for community safety.
• Experience with Trust & Safety metrics, transparency reporting, and regulatory frameworks (GDPR, DSA, OSA).
• Exceptional communication and stakeholder management skills with ability to influence executive strategy.
• Expert data storytelling—translating sophisticated analytics into clear narratives driving policy decisions.
• Strategic thinking balancing player safety, user experience, and business objectives.
• Passion for creating safe, inclusive gaming communities.

Pluses

• Trust & Safety and/or Anti-Cheat experience at gaming, social media, or UGC platforms.
• Real-time detection systems and streaming analytics experience.
• Advanced ML Techniques (Transformers, LLMs, GenAI) for content moderation.
• Graph analytics for coordinated behavior detection.
• Published research or thought leadership in Trust & Safety, content moderation, or online community safety.
• Experience with big data technologies (PySpark) and cloud platforms (AWS, GCP, Azure, Databricks).
• Multilingual capabilities or experience with non-English content moderation challenges.

How to Apply

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

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The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

*NY Base Pay Range

$121,400 - $161,800 USD

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