Associate Principal Data Scientist

About This Role

Lead high-impact data science initiatives, applying advanced statistical and machine learning techniques to drive system understanding and develop data-powered solutions across the organization. This role involves shaping the roadmap for experimentation and modeling, providing technical direction, and mentoring senior data scientists.

Responsibilities

• Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams
• Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and genAI) to drive system understanding and develop data-powered solutions
• Own design and evaluation of experimentation for optimization systems
• Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility
• Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy
• Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science

Requirements

• 14+ years of industry experience in data science, experimentation, statistical modeling, and machine learning
• Proficient in Python and SQL
• Familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS)
• Strong systems thinking
• Excellent communication and collaboration skills
• Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization

Qualifications

• Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research)
• 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems

Nice to Have

• Experience working with advertising data products or monetization systems
• Prior work with mobile gaming studios or player behavior modeling
• Experience in developing or maintaining experimentation platforms
• Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow)

Skills

* Required skills

Benefits