Lead Data Scientist - Pro

Home Depot; Georgia; On-site; USD 150,000 - 210,000; Full time

Job summary

Home Depot is seeking a Lead Data Scientist to guide data science initiatives that improve profitability, efficiency, and customer experience. You will help develop the advanced analytics infrastructure and apply prescriptive and predictive modeling to business decisions.

You'll lead cross-functional teams across analytics, IT, and business units, mentoring junior staff and driving scalable data solutions using Python, SQL, and modern BI tools.

Qualifications

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States. Demonstrated expertise in Advanced analytic modeling, statistics or BI preferably in retail
• Master's degree in a quantitative field (or equivalent work experience)
• 3+ years of experience in data science or related analytics field (implied by senior role)

Responsibilities

• Design, develop and implement algorithms and models to extract business insights from large datasets.
• Lead and manage large, complex projects and teams; mentor junior staff and support hiring.
• Collaborate with internal customers and IT to deliver analytics solutions and drive adoption.
• Develop reusable data science libraries and ensure productionalization of models and workflows.

Skills

Advanced analytics modeling

Statistics

BI

Education

Master's degree in a quantitative field

Tools

Python

SQL

BigQuery

Tableau

Job description

Position Purpose:

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. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

Key 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

Direct Manager/Direct Reports:

• This position typically reports to manager or above
• This position has 0 Direct Reports and leads/manages projects

Travel Requirements:

• Typically requires overnight travel less than 10% of the time.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States. Demonstrated expertise in Advanced analytic modeling, statistics or BI preferably in retail

Preferred Qualifications:

• Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
• 10+ years of experience in business intelligence, advanced analytics, and/or AI/ML fields.
• Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).
• Experience in a modern scripting language (preferably Python)
• Proficient in Data querying (SQL/BQ) and visualization (preferably tableau)
• Proficient utilizing statistical techniques to identify key