Principal Data Scientist
PRINCIPAL DATA SCIENTIST
Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science & Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans.
The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc.
The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas.
Requirements
- An academic background in Statistics, Mathematics, or Computer Science (or similar)
- A number of years of commercial experience as a data scientist appropriate to your grade.
- Commercial experience in designing impactful machine learning models
- Experience in helping to take said models to production / deployment
- Python expertise proven by writing production quality code
Bonus Requirements
- System / Recommender System / Recommendation Engine / RecSys experience
- PySpark experience
- Azure DataBricks experience
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).