Note: The job is a remote job and is open to candidates in USA. The Home Depot is seeking a Lead Data Scientist to drive business profitability, operational efficiency, and improved customer experience through advanced analytics. The role leads large data science projects, develops predictive and prescriptive models, mentors data scientists, collaborates with business and IT teams, and advances reusable data science solutions and practices.
Responsibilities
- 30% Solution Development - 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
- 25% Project Management & Team Support - 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; Lead data science communities across several business units
- 20% Business Collaboration - 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
- 25% Technical Exploration & Development - 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 (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; 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
Skills
- • 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
- • 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
Company Overview