**Position Purpose:** The Data Scientist will support The Home Depot's Pro Intelligence ecosystem by applying Advanced Analytics, Machine Learning, and Generative AI to deliver impactful, data-driven solutions. This role requires hands-on experience in developing, evaluating & deploying data-driven solutions that align with business strategy and drive measurable impact. The candidate will work closely with cross-functional teams to enhance Pro Intelligence and accelerate The Home Depot's 3rd Growth Chapter. A strong foundation in applying and evaluating machine learning, generative AI models and a strategic mindset are essential to thrive in this dynamic and high-impact role. **Key Responsibilities:** + 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies + 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation + 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals + 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; 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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented **Direct Manager/Direct Reports:** + This position typically reports to Manager or above + This position has 0 Direct Reports **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. **Preferred Qualifications:** + Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience + 4+ years of experience in business intelligence and analytics + Proficient running queries against data (preferably with Google BigQuery or SQL) + Demonstrated experience in predictive modeling, data mining and data analysis + Strong proficiency in end to end ML in BQML or Python and ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. + Experience with MLOps tools and practices for scalable model deployment and monitoring. + Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP + Proven experience with Generative AI frameworks (e.g., OpenAI, Hugging Face Transformers, LangChain, LlamaIndex) and LLM fine-tuning or Context engineering + Proficient utilizing statistical techniques to identify key insights that help solve business problems + Proficient with data visualization software (preferably Tableau) + Working knowledge of Microsoft Excel and Power Point **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:** + No additional education **Minimum Years of Work Experience:** + 3 **Preferred Years of Work Experience:** + No additional years of experience **Minimum Leadership Experience:** + None **Preferred Leadership Experience:** + None **Certifications:** + None **Competencies:** + Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm + Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals + Collaborates: Building partnerships and working collaboratively with others to meet shared objectives + Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences + Customer Focus: Building strong customer relationships and delivering customer-centric solutions + Drives Results: Consistently achieving results, even under tough circumstances + Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder + Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement + Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals + Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Apply End Date: 09/17/2025 - $0.00 - $0.00