Your role

In this position you will work with:

Engineer prediction models for user retention  Optimize anomaly detection models for early reporting of escalations and fraud  Productize clustering algorithms for user segmentation  Run A/B experiments to continue optimizing the business Automate reporting and insights for business partners to increase engagement  Design dashboards for internal stakeholders  Collaborate with Product/Engineering to productionize data flows that power user-facing products and services  Collaborate with Marketing on targeting segmentation and lifecycle drip campaigns  Collaborate with Analytics and BI to maintain data fidelity across various data warehouses 

About the right team member

Based in the UK 3+ years experience as a data scientist building machine learning models for business application  Degree in a quantitative field (Economics, Finance, Mathematics, Engineering)  Strong knowledge of statistics and machine learning  Experience with A/B testing Fluency in SQL and Python Experience in DTC and/or Subscription business models Exposure to engineering best practices  Superb communication skills, in speech and in writing  Good organizational skills  Deep sense of intellectual curiosity  Understanding of AWS services such as S3, Athena, RDS, IAM, ECS, and EMR  Entrepreneurial spirit; comfort with ambiguity and a fast-paced work environment  Strong business acumen; can consider higher-level business context and thinking while still approaching analytical problems with technical precision and data-mindedness  Knowledge and/or experience with BI tools (Tableau, Looker preferred)