Lead Data Scientist – Finance Analytics, Automation & AI
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Job Description
Lead Data Scientist responsible for driving data science initiatives that enhance profitability and customer experience at Home Depot. Directing large projects, mentoring teams, and building analytical infrastructure.
Responsibilities:
- 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
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