What are the responsibilities and job description for the Sr Data Scientist Machine Learning position at QVC?
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
Your Opportunity, Your Team
- The Sr. Data Scientist position is an individual contributor role to build and scale QVC's machine learning, AI, and data platform for wide-ranging applications aimed at improving timeliness and accuracy of the business decisions, to grow revenue, customer file, and profitability. The Sr. Data Scientist helps drive the data science and AI priorities at QVC Group by designing and implementing scalable and automated advanced analytics and decision support solutions. You will take initiatives across the retail commercial value chain, customer experience, and Finance. Through the work, you will create new and advanced Data Science based business processes that result in improved outcomes. Past example projects include multi-touch sales attribution, pricing optimization, econometric sales forecasting, airtime optimization, recommendation engines, AI forecasting and analytics, and customer targeting models.
- This role is hybrid and will require you to be onsite at West Chester, PA several days per month (onsite days are predetermined and standard across the company). Job seekers must reside in one of the following states to be considered: DE, NJ, PA. Relocation assistance is not available for this role.
- Hands-on design and development of machine learning and AI models, and successfully implement with end-users from start to end; models must be validated to highest standards of accuracy, consistency, and business relevance
- Independently manage project priorities and deliverable timelines, keeping leadership and stakeholders aligned on progress. Proactively troubleshoot and resolve obstacles to ensure on-time delivery, collaborating directly with Business and IT partners to address complex dependencies
- Be on the cutting edge of implementing and activating GenAI and Agentic AI technologies with potential tool-chaining of ML models to simplify complex workflows and analyses, enhance decision-making, and transform business planning and execution processes
- Present project updates and perform demonstration of successfully implemented Data Science capabilities to the Executive leadership audience
- Cultivate technical excellence by mentoring analytics/data science team members on data science best practices and identifying opportunities to automate workflows
- 8 years of overall analytics experience, can be inclusive of post graduate work
- Education: Bachelors in Data Analytics, Economics, Operations Research, Engineering, Computer Science, Statistics, Mathematics, Econometrics or similarly related analytical field; Masters in Lieu of 1 year of experience; PhD in Lieu of 3 years of experience
- 6 years of experience with Data Science model development with a combination of Bayesian statistics, multivariate regression analysis (beyond linear regression), forecasting/predictive analytics, supervised learning, unsupervised learning, time-series analysis, mixed integer and linear programming using optimization packages such as Gurobi, CPlex, or others
- Mastery in one or more Data Science platforms: Databricks, Microsoft Azure, Google BigQuery or AWS cloud platforms, and practical machine learning usingframeworks such as scikit-learn, H2O, TensorFlow, Mllib, finetuning LLMs, Multi-Agent Systems
- Demonstrate ownership and accountability towards deliverables and urgent needs by handling Data Science projects and analytical business requests simultaneously
- Excellent Problem-Solving ability to independently breakdown complex business problems and apply Data Science tools and models to solve problems, validate outputs, and influence results