The Home Depot

Lead Data Scientist – Finance Analytics, Automation & AI

The Home Depot

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience.
  • This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and Advanced Analytics Modeling techniques.
  • Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.
  • This role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
  • Responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team.
  • Expected to own the library of reusable algorithms for future use, ensuring developed codes are documented.
  • Supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process.
  • Leads data science communities across several business units.

Requirements

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Demonstrated expertise in predictive modeling, data mining and data analysis
  • Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 10+ years of experience in business intelligence and analytics
  • Expertise in a modern scripting language (preferably Python)
  • Expertise running queries against data (preferably with Google BigQuery or SQL)
  • Advanced knowledge of Microsoft Office Suite
  • Expertise with data visualization software (preferably Tableau)
  • Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

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

Hard Skills & Tools
predictive modelingdata miningdata analysisstatistical techniquesPythonGoogle BigQuerySQLdata visualizationTableauprescriptive modeling
Soft Skills
leadershipmentoringcommunicationteam buildingproblem solving
Certifications
PhD in quantitative field