Senior Data Scientist – Decision Analytics, Store Operations Transformation

The Home Depot • Atlanta, GA

12d

About The Position

The Senior Data Scientist drives AI adoption and data science innovation across Store Operations, while enhancing and scaling existing data science and analytical products. The role leads initiatives that support business profitability, operational efficiency, and improved customer experience, and contributes to advanced analytics infrastructure that informs decision-making. The Senior Data Scientist seeks business opportunities to use data science as a competitive advantage and is expected to be proficient in one or more specializations, such as optimization, computer vision, recommendation, search, or NLP.

The position serves as a lead on data science projects, collaborating with project and product managers, prioritizing tasks, balancing workload, and mentoring other data scientists. It presents insights and recommendations to leaders and business partners and explains the benefits and impacts of recommended solutions. The role also contributes to building skilled data science teams through staffing input and participation in recruiting and hiring. Effective collaboration, communication, relationship-building, and business proficiency are important to developing solutions and recommendations.

Requirements

• Must be at least 18 years old.
• Must be legally permitted to work in the United States.
• At least 5 years of work experience.
• A bachelor's degree or equivalent in a field of study related to the job, or knowledge, skills, and abilities typically acquired through completing such a program.
• Proficiency in one or more data science specializations, such as optimization, computer vision, recommendation, search, or NLP.
• Effective communication and collaboration skills for working with business partners, leaders, and cross-functional teams.

Nice To Haves

• PhD in a quantitative field such as computer science, mathematics, or statistics.
• At least 6 years of experience in business intelligence and analytics.
• Experience developing and deploying agentic solutions, preferably using Google ADK.
• Working knowledge of Microsoft Excel and PowerPoint.
• Proficiency in a modern scripting language, preferably Python.
• Proficiency querying data, preferably using Google BigQuery or SQL.
• Proficiency with data visualization software, preferably Tableau.
• Mastery of statistical techniques for identifying insights that help solve business problems.
• Proficiency in prescriptive modeling, such as optimization, computer vision, recommendation, search, or NLP.
• Demonstrated proficiency in predictive modeling, data mining, and data analysis.

Responsibilities

• Design and develop algorithms and models for large datasets to generate business insights, selecting, applying, and interpreting advanced analytical methods.
• Execute work efficiently and to a high standard, and communicate insights, recommendations, and their impacts to technical and non-technical audiences.
• Prepare reports, project updates, and presentations, and help drive alignment and appropriate implementation of recommendations.
• Work with project teams and business partners to define project goals; guide work prioritization and quality; mentor and coach junior team members; help distribute workload and resources; and support recruiting and hiring.
• Apply business knowledge to solution approaches, build trusted relationships with internal customers and cross-functional teams, and educate business partners about advanced analytics.
• Identify new business opportunities for data science and understand the team's IT needs for addressing business problems.
• Stay informed about developments in data science, technical skills, and data sources; create reusable, documented solutions and process materials; define best practices for analysis and model productionalization; and contribute documented algorithms to reusable libraries.

What This Job Offers

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