Guide and inspire a team of data scientists and machine learning engineers to create groundbreaking data solutions that enhance gameplay, improve user engagement, and optimize business outcomes
Job Summary
Guide and inspire a team of data scientists and machine learning engineers to create groundbreaking data solutions that enhance gameplay, improve user engagement, and optimize business outcomes.
Drive best practices in A/B-testing, predictive modelling, user clustering, and reinforcement learning, while implementing software engineering best practices for internal tools and ML/RL model development.
As part of the Aristocrat family, Product Madness shares a mission of bringing joy to life through the power of play, fostering an inclusive culture where people are encouraged to be their very best.
Matching Summary
Guide and inspire a team of data scientists and machine learning engineers to create groundbreaking data solutions that enhance gameplay, improve user engagement, and optimize business outcomes.
Skills & Requirements
Must-have
predictive modelling
reinforcement learning
Bayesian statistics
software engineering practices
ML Ops
Python proficiency
Nice-to-have
transformational leader
advocating for data-driven decision-making
fostering growth
inclusive culture
Key Requirements
5+ years of Data Science experience
2 years in a leadership role
PHD or MSc or equivalent experience
Practical experience in software engineering
Experience in ML Ops
Hybrid work basis requiring at least 3 days a week in our central London office