Position Purpose:

The Distinguished Data Scientist is responsible for leading cutting-edge research for developing advanced analytics modeling techniques and complex algorithms. This role promotes the innovative application of data science techniques and methodologies across the company and leads large portfolios of data science projects. Distinguished Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage for Home Depot.

As a Distinguished Data Scientist, you will provide thought leadership and establish a technical strategy for advanced analytics. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. Distinguished Data Scientists support the building of skilled and talented data science teams by attracting top talent and developing skills of team members. In addition, this role networks with experts, both academic and industry, to further the application of data science to business problems.

Key Responsibilities:

20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Actively seek out new business opportunities to leverage data science as a competitive advantage; Deep understanding of IT needs for the team to be successful in tackling business problems; Provide general education on advanced analytics to technical and non-technical business partners15% - Project Management & Team Support - Support recruiting and hiring efforts for the team; Collaborate with managers and team in the distribution of workload and resources; Provide mentoring and coaching to more junior roles to support their technical competencies; Provide direction on prioritization of work and ensure quality of work; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Work with project teams and business partners to determine project goals15% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Provide thought leadership when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advance analytical methodologies50% - Technical Exploration & Development - Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Lead networks of both academic and industry experts to further the application of data science to business problems; Develop cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Lead 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; Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
 

Direct Manager/Direct Reports:

This Position typically reports to the Sr. Director or aboveThis Position has up to 3 Direct Reports

Travel Requirements:

Typically requires overnight travel 5% to 20% of the time.
 

Physical Requirements:

Most of the time is spent sitting or standing in the same location or there may be a need to stoop regularly or move/lift light material or equipment (typically less than 8 pounds).
 

Working Conditions:

Located in a comfortable indoor area. Conditions could produce mild discomfort on occasion.
 

Minimum Qualifications:

Must be at least 18 years oldMust be legally permitted to work in the United StatesThought leadership in predictive modeling, data mining and dataMastery utilizing statistical techniques to identify key insights that help solve business problems
 

Preferred Qualifications:

Working knowledge of Microsoft Office SuiteWorking knowledge of TableauWorking knowledge of presentation software (e.g., Microsoft PowerPoint)Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiencesExcellent written and verbal communication skillsPhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.10+ years of experience in business intelligence and analyticsExpertise in a modern scripting language (preferably Python)Expertise running queries against data (preferably with Google BigQuery or SQL)Advanced knowledge of Microsoft Office SuiteExpertise with data visualization software (preferably Tableau)Thought leadership in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLPTrack record of teaching, mentoring, growing and advising other data science experts inside and outside of the organizationProfessionally recognized by peers and leaders in the organization for significant expertise within Data Science
 

Minimum Education:

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.
 

Preferred Education:

The knowledge, skills and abilities typically acquired through the completion of a doctoral program in a field related to the job.
 

Minimum Years of Work Experience:

10
 

Preferred Years of Work Experience:

0

Minimum Leadership Experience:

No previous leadership experience
 

Preferred Leadership Experience:

No previous leadership experience

Certifications:

None
 

Competencies:

Business InsightsDrives Vision and PurposePersuadesSelf-DevelopmentTech SavvyAttracts Top TalentCultivates InnovationInstills TrustOptimizes Work ProcessesBuilds NetworksCommunicates EffectivelyDevelops TalentStrategic Mindset