QVC Group is looking to improve timeliness and accuracy of business decisions, grow revenue, customer file, and profitability by building and scaling its machine learning, AI, and data platform.
Requirements
- 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 using frameworks such as scikit-learn, H2O, TensorFlow, Mllib, finetuning LLMs, Multi-Agent Systems
- Experience with machine learning and AI models
- Experience with data science best practices
- Experience with automation of workflows
- Experience with optimization packages such as Gurobi, CPlex, or others
Responsibilities
- 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
Other
- 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
- 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
- Job seekers must reside in one of the following states to be considered: DE, NJ, PA
