TL;DR
Senior Data Scientist (Gaming, ML): Designing, developing, and delivering data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques. Focus on understanding gameplay flows, conducting proactive in-depth analysis, and building predictive models to uncover hidden opportunities.
Location: Onsite in Leeds, England
Company
hirify.global creates world-class entertainment experiences, focusing on large-scale creative projects.
What you will do
- Design, develop, and deliver data analytics solutions using machine learning and advanced analytical techniques.
- Provide high-quality insights and in-depth analyses to support strategic initiatives.
- Communicate impactful stories with data through reports and presentations.
- Develop a deep understanding of gameplay flows to inform game data analysis.
- Identify and lead analytic value-add projects and experiments.
- Conduct proactive in-depth analysis and predictive modeling.
Requirements
- 5+ years in a data science role required.
- Experience in writing production-stable code (preferably Pyspark), pushing models and data pipelines to production.
- Proficiency in statistical theories such as probability, distributions, Bayesian statistics, and causal inference.
- Knowledge of machine learning techniques including Clustering, Gradient Boosting, Neural Networks, and Regression.
- Excellent SQL skills and experience using Python for machine learning and statistical analysis.
- Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
Nice to have
- Experience with Databricks and MLFlow.
- Graduate degree (MBA, MSc, or PHD).
- Game industry experience.
Culture & Benefits
- Work in an inclusive, highly-motivated environment.
- Opportunity to learn and collaborate with talented industry professionals.
- Commitment to equal opportunity, dignity, and respect.
- Reasonable accommodations provided for qualified job applicants with disabilities.
Hiring process
- Apply with a CV and cover letter.
- A Rockstar recruiter will explain next steps and guide you through the process.
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