Senior Data Scientist, Online Recommendations

Home Depot • Atlanta, GA

4d

About The Position

The Senior Data Scientist leads data science initiatives that support business profitability, operational efficiency, and improved customer experience. The role contributes to Home Depot’s advanced analytics infrastructure and seeks business opportunities where data science can provide a competitive advantage. Depending on the team, the position requires proficiency in one or more specializations, such as optimization, computer vision, recommendation, search, or natural language processing.

The Senior Data Scientist leads project work, collaborates with project and product managers, helps prioritize tasks and balance workloads, and mentors data scientists. The role presents insights and recommendations to leaders and business partners, explains their expected benefits and impacts, and contributes to team staffing and recruiting efforts. It also requires effective collaboration and communication with business partners and cross-functional teams.

The position reports to a manager or above and has no direct reports. Overnight travel is typically less than 10% of the time. Work is primarily performed sitting in a comfortable indoor area, with frequent opportunities to move about; rare occasions may require moving or lifting light articles. Unpleasant working conditions are infrequent and not objectionable.

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.
• Bachelor’s degree or equivalent in a field of study related to the job.
• Proficiency in one or more data science specializations, such as optimization, computer vision, recommendation, search, or NLP.
• Ability to design and develop algorithms and models using large datasets and apply advanced analytical methodologies.
• Ability to communicate analytical insights and recommendations to technical and non-technical leaders and business partners.
• Ability to collaborate with business partners and cross-functional teams, prioritize work, and mentor data scientists.

Nice To Haves

• PhD in a quantitative field such as computer science, mathematics, or statistics.
• 6 or more years of experience in business intelligence and analytics.
• 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 and applying appropriate advanced analytical methodologies.
• Execute work efficiently and with high quality; communicate insights, recommendations, and their impacts to technical and non-technical audiences; prepare project updates, reports, and presentations.
• Work with project teams and business partners to determine project goals, prioritize work, ensure quality, and distribute workload and resources.
• Mentor and coach more junior team members and support recruiting and hiring efforts.
• Apply business knowledge to solution approaches, build trust and collaboration with internal customers and cross-functional teams, and educate business partners on advanced analytics.
• Identify business opportunities where data science can provide a competitive advantage and understand the team’s IT needs for addressing business problems.
• Keep current with developments in data science, technical skills, and data sources; develop reusable solutions and documentation to support continuous improvement.
• Define best practices and a clear vision for data analysis and model productionalization, and contribute documented code and reusable algorithms to shared libraries.

What This Job Offers

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