{"id":69243,"url":"https://alion.io/job/homedepot-lead-data-scientist","title":"Lead Data Scientist","company":{"id":13463,"name":"The Home Depot","domain":"homedepot.com","url":"https://alion.io/company/homedepot","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":95,"ghost_share":0,"stale_share":0.747,"repost_share":0.011,"time_to_fill_p50_days":35,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"NLP","optional":false},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Office","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-11-01T20:43:31Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":72},"description":"With a career at The Home Depot, you can be yourself and also be part of something bigger.\nPosition Purpose:\nThe 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.\nAs a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.\nKey Responsibilities:\n30% 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\n25% 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\n20% 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\n25% 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\nDirect Manager/Direct Reports:\nThis position typically reports to manager or above\nThis position has 0 Direct Reports and leads/manages projects\nTravel Requirements:\nTypically requires overnight travel less than 10% of the time.\nPhysical Requirements:\nMost 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.\nWorking Conditions:\nLocated in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. \nMinimum Qualifications:\nMust be eighteen years of age or older.\nMust be legally permitted to work in the United States.\nDemonstrated expertise in predictive modeling, data mining and data analysis\nDemonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems\nPreferred Qualifications:\nPhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience\n10+ years of experience in business intelligence and analytics\nExpertise in a modern scripting language (preferably Python)\nExpertise running queries against data (preferably with Google BigQuery or SQL)\nAdvanced knowledge of Microsoft Office Suite\nExpertise with data visualization software (preferably Tableau)\nExpertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP\nMinimum Education:\nThe 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.\nPreferred Education:\nNo additional education\nMinimum Years of Work Experience:\n10\nPreferred Years of Work Experience:\nNo additional years of experience\nMinimum Leadership Experience:\nNone\nPreferred Leadership Experience:\nNone\nCertifications:\nNone\nCompetencies:\nAttracts Top Talent: Attracting and selecting the best talent to meet current and future business needs\nBuilds Networks: Effectively building formal and informal relationship networks inside and outside the organization\nBusiness Insight: Applying knowledge of the business and the marketplace to advance the organization's goals\nCollaborates: Building partnerships and working collaboratively with others to meet shared objectives\nCommunicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences\nCultivates Innovation: Creating new and better ways for the organization to be successful\nDevelops Talent: Developing people to meet both their career goals and the organization's goals\nInstills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity\nOptimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement\nPersuades: Using compelling arguments to gain the support and commitment of others\nSelf-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels\nStrategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies\nTech Savvy: Anticipating and adopting innovations in business building digital and technology 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