Senior Manager, Data Science

Working at QVC Group means joining a live social shopping company with incredible teams, ambitious projects and amazing careers. QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road. Your Opportunity, Your Team The Senior Manager, Data Science supports QVC, as a hands-on team leader, you will build and scale our machine learning, AI, and data platform. You will take on projects across the retail commercial value chain, customer experience, and finance. These projects will focus on various areas, including multi-touch sales attribution, pricing optimization, and econometric sales forecasting. Additionally, they will involve airtime optimization, recommendation engines, AI forecasting and analytics, and customer targeting models. Where You'll Work

• This role is remote; job seekers must reside in one of the following states to be considered: NJ, PA, or DE. This role may require you to be on site at our West Chester, PA on a quarterly basis.

What You'll Do

• 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

What You'll Bring

• 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

, Our Total Rewards package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits. QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance. If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.