Senior Data Scientist - Generative BI

The Home Depot • Atlanta, GA

2d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, efficiencies and customer value by supporting the data science and analytical needs of THD’s Cost Finance Team. This role assists in the development of the Home Depot advanced analytics, machine learning, and AI infrastructure that informs cost mitigation and strategic sourcing decisions. Sr. Data Scientists are expected to seek out business opportunities to leverage data science to improve the company’s cost position and profitability. Based on the specific data science team, this role would need to be an expert in data science methods such as data engineering, pipeline development and maintenance, machine learning, and artificial intelligence as well as fluent in cost finance concepts. As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with finance managers and finance leadership, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. 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, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 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.

Nice To Haves

• Master’s Degree (Computer Science, Math, Statistics, etc.)
• Bachelor’s Degree in required field (Mathematics, Statistics, Economics, Finance)
• 6+ years of experience in business intelligence and data science
• Working knowledge of international trade dynamics and regulations or experience supporting retail cost mitigation efforts
• Demonstrated proficiency in predictive modeling, data mining and data analysis in a retail setting
• Experience developing production quality databases and pipelines for machine learning/artificial intelligence
• Demonstrated proficiency in building Gen AI agents and building agentic AI systems
• Experience working with Application Programming Interfaces (APIs)
• Working knowledge of Microsoft Excel and Power Point
• Proficient in Python
• Proficient running queries against Google BigQuery
• Proficient with Tableau
• Mastery utilizing statistical techniques to identify key insights that help solve business problems (including hypothesis testing, regression, time series, machine learning, and deep learning)

Responsibilities

• Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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
• Project Management & Team Support - Work with project teams and business partners to determine project goals; 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
• Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
• 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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level