The Home Depot is looking for a Lead Data Scientist to spearhead data science initiatives that drive business profitability, increased efficiencies, and an improved customer experience. You will help develop our advanced analytics infrastructure and identify opportunities to leverage data science as a competitive advantage. At The Home Depot, you can be yourself and also be part of something bigger.

What You'll Do

Lead data science initiatives that drive business profitability, increased efficiencies, and improved customer experience.
Assist in the development of the Home Depot advanced analytics infrastructure that informs decision making.
Seek out business opportunities to leverage data science as a competitive advantage.
Design and develop algorithms and models to use against large datasets to create business insights.
Make appropriate selection, utilization, and interpretation of advanced analytics methodologies.
Effectively communicate insights and recommendations to both technical and non-technical leaders and business partners.
Lead and manage large and complex projects and teams.
Provide direction on prioritization of work and ensure quality of work.
Provide mentoring and coaching to more junior roles to support their technical competencies.
Collaborate with managers to distribute workload and resources.
Support recruiting and hiring efforts for the team.
Serve as a technical subject matter expert for one or more data science methods.
Lead data science communities across several business units.
Leverage extensive business knowledge into solution approach.
Effectively develop trust and collaboration with internal customers and cross-functional teams.
Provide technical education on advanced analytics to the data science community.
Partner with IT to understand potential for new tools and ways to maintain technical agility.
Actively seek out new business opportunities to leverage data science.
Seek further knowledge on key developments within data science by attending conferences and publishing papers.
Participate in the continuous improvement of data science and analytics by developing replicable solutions.
Define best practices and develop clear vision for data analysis and model productionalization.
Own library of reusable algorithms for future use and ensure developed code/models are documented.
Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search, or NLP.

What We're Looking For

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.
The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
10 years of work experience.

Nice to Have

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.