Qurate Retail Group

Senior Data Scientist – Machine Learning

Qurate Retail Group

full-time

Posted on:

Location Type: Hybrid

Location: West Chester • New Jersey, Pennsylvania • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudScikit-LearnTensorflow

About the 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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningAI modelsBayesian statisticsmultivariate regression analysispredictive analyticssupervised learningunsupervised learningtime-series analysisoptimization packagesdata science model development
Soft skills
problem-solvingproject managementcollaborationmentoringcommunicationtroubleshootingstakeholder alignmenttechnical excellenceindependencepresentation skills