Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement
Job Summary
Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.
Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.
Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization.
Matching Summary
Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.
Skills & Requirements
Must-have
Lead data science initiatives end-to-end
Build ML and RL solutions
Lead modeling framework for complex systems
Drive scalable experimentation
Provide technical leadership and mentorship
Partner with game teams to define metrics
Nice-to-have
Experience in gaming or digital entertainment
Promote data-informed decision-making
Translate insights into actionable recommendations
Key Requirements
PhD or MSc or equivalent experience
5+ years of professional data science experience
Delivered 3+ data or ML products
Proficiency in clustering, predictive modeling, RL, Bayesian statistics
Hands-on software engineering and MLOps experience
Proficiency in SQL and Python
Familiarity with big data technologies or cloud platforms