Lead Data Scientist
| Company | The Home Depot |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Expert or higher |
Requirements
- Demonstrated expertise in predictive modeling, data mining and data analysis
- Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
- Must be eighteen years of age or older
- Must be legally permitted to work in the United States
Responsibilities
- Utilize expertise when designing and developing 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 customers/partners
- Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- 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 and team in the distribution of workload and resources
- Support recruiting and hiring efforts for the team
- Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive
- 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 data science community
- Partner with IT to understand potential for new tools and ways to maintain technical agility for data science
- Actively seek out new business opportunities to leverage data science as a competitive advantage
- 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
- Ownership of library of reusable algorithms for future use, ensure developed code/models are documented
- Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP
Preferred Qualifications
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 10+ years of experience in business intelligence and analytics, preferably in Online Experimentation
- 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