Hybrid Senior Data Scientist – Machine Learning

at Qurate Retail Group

• Job title: Senior Data Scientist – Machine Learning
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, BigQuery, Cloud, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, West Chester, United States

About the role

• Sr Data Scientist developing and implementing machine learning models for QVC Group's data-driven solutions. Focused on enhancing business decisions, customer experience, and operational efficiency.

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

Requirements

• 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 using frameworks such as scikit-learn, H2O, TensorFlow, Mllib, finetuning LLMs, Multi-Agent Systems
• 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.

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