Senior Data Scientist (Game Security & Trust & Safety)

TL;DR

Senior Data Scientist (Game Security & Trust & Safety): Developing sophisticated detection systems and advanced analytics models to protect player communities with an accent on data visualization, anomaly detection, supervised learning, and community health measurement. Focus on driving complex investigations addressing cheating and toxicity, automating detection solutions, and ensuring regulatory compliance (GDPR, DSA, OSA).

Location: Onsite in Leeds, England

Company

hirify.global creates world-class entertainment experiences, focusing on large-scale creative projects within an inclusive, highly-motivated environment.

What you will do

• Partner with Trust & Safety and Game Security teams to conduct high-impact projects.
• Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications.
• Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment.
• Serve as a subject matter expert on Trust & Safety metrics, regulatory compliance, and transparency reporting.
• Design sophisticated detection systems balancing player safety with user experience.
• Establish and monitor Trust & Safety and Anti-Cheat KPIs with dashboards.

Requirements

• 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety.
• Strong SQL proficiency with large-scale databases.
• Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments.
• Expertise in one: graph analytics for coordinated behavior, NLP for content moderation/toxicity, or network analysis.
• Experience with Trust & Safety metrics, transparency reporting, and regulatory frameworks (GDPR, DSA, OSA).
• Exceptional communication and stakeholder management skills.

Nice to have

• 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.
• Experience with big data technologies (PySpark) and cloud platforms (AWS, GCP, Azure, Databricks).
• Multilingual capabilities or experience with non-English content moderation challenges.

Culture & Benefits

• Work within an inclusive, highly-motivated environment.
• Opportunity to learn and collaborate with talented people in the industry.
• Committed to creating a work environment that promotes equal opportunity, dignity, and respect.
• Provides reasonable accommodations to qualified job applicants with disabilities.
• Encourages applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.