Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.
About the role
- Senior Manager, Data Science leading a team in analytics and machine learning at QVC Group. Involves managing projects across retail, customer experience, and finance.
Responsibilities
- Hands-on design and development of machine learning and AI models and validate models to the highest standards of accuracy, consistency, and business relevance
- Identify and clear roadblocks to project deadlines and successful adoption; partner with Business and EDM IT teams to escalate and influence clearing the roadblocks promptly
- Present project updates and demonstrate new capabilities to executive leadership audience
- Lead Data Scientist team to by delegating and coordinating deliverables
- Collaborate with IT EDM team to build and maximize value from Databricks platform and establishing new data pipelines
- Partner with business, analytics, and finance teams to set and exceed value creation goals from Data Science models
Requirements
- 12+ years of overall analytics experience, can be inclusive of post graduate work
- 2+ years of managing teams or large projects in Data Science, Analytics, Business Intelligence, and Data Product management
- Education: We require a degree in one of the following fields: Business Analytics, Economics, Operations Research, Engineering, Computer Science, Statistics, Mathematics, or Econometrics, or a similarly related analytical field.
- Alternatively, a Master's degree can substitute for 1 year of experience, while a PhD can substitute for 3 years of experience.
- 10+ years of experience of Data Science model development with a combination of: Bayesian statistics, Regression analysis (beyond linear regression), Forecast/predictive analytics, Multivariate testing, Implement large-scale optimization models (mixed integer and linear programming, genetic algorithms), Use optimization packages such as Gurobi, CPlex, or others
- 10+ years of Data Engineering and Manipulation experience working in a cloud environment: Databricks, Microsoft Azure, Google BigQuery or AWS cloud platforms.
- Familiarity with Azure and Databricks preferred.
- Experience with practical machine learning using frameworks such as scikit-learn, H2O, TensorFlow, Caffe, or Mllib; AI Agent bricks experience ideal
Benefits
- competitive compensation
- paid time off
- an employee assistance program
- parental leave
- paid volunteer hours
- amazing company discounts
- health care benefits starting on day 1
- 401(k)
- tuition reimbursement benefits
Job title
Job type
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Degree requirement
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