Principal Data Scientist, Search
About The Position
The Principal Data Scientist, Search is the technical leader responsible for building retrieval and ranking models for The Home Depot’s search engine and using large language models to develop future intelligent shopping experiences. This role leads data science initiatives that support profitability, operational efficiency, and customer experience, and helps advance the analytics infrastructure used to inform business decisions. The position leads large-scale data science projects, identifies business opportunities for applying data science, selects appropriate technologies and methods, and mentors project team members. It also contributes innovative algorithms and intellectual property, supports team staffing and recruiting, and networks with academic and industry experts to advance data science applications. The role typically reports to a Director or above, has no direct reports, and leads or manages projects. Overnight travel is typically less than 10% of the time.
Requirements
- At least 10 years of work experience.
- Bachelor's degree or equivalent in a field of study related to the job, or the knowledge, skills, and abilities typically acquired through completing such a program.
- Must be at least 18 years old.
- Must be legally permitted to work in the United States.
Nice To Haves
- Ph.D. in a quantitative field such as Computer Science, Mathematics, or Statistics, or equivalent work experience.
- 10 or more years of experience in business intelligence and analytics.
- Expertise in a modern scripting language, preferably Python.
- Expertise querying data, preferably using Google BigQuery or SQL.
- Advanced knowledge of Microsoft Office Suite.
- Expertise with data visualization software, preferably Tableau.
- Expertise in prescriptive modeling such as optimization, computer vision, recommendation, search, or NLP.
- Demonstrated mastery of predictive modeling, data mining, and data analysis.
- Demonstrated mastery of statistical techniques to identify insights that help solve business problems.
Responsibilities
- Design and develop algorithms and models using large datasets to generate business insights; select, apply, and interpret advanced analytics methods.
- Communicate insights, recommendations, and their expected impacts to technical and non-technical leaders, business customers, and partners, and test alternative methods and cutting-edge algorithms.
- Work with project teams and business partners to establish project goals, prioritize work, ensure quality, and allocate workload and resources in collaboration with managers and the team.
- Mentor and coach more junior data scientists, support recruiting and hiring, and serve as a technical subject matter expert in predictive or prescriptive data science methods.
- Apply business knowledge to solution design and build trust and collaboration with internal customers and cross-functional teams.
- Educate technical and non-technical business partners about advanced analytics, understand the team's IT needs, and identify new opportunities to use data science as a competitive advantage.
- Stay current with data science developments, technical skills, and data sources; create reusable solutions such as codified data products, documentation, and process flowcharts.
- Define best practices and establish a vision for data analysis and model productionalization.
- Support the development of innovative algorithms that can serve as Home Depot intellectual property.
- Share technical expertise through conferences, speaking engagements, and publications; provide thought leadership in prescriptive modeling areas such as optimization, computer vision, recommendation, search, or NLP.
- Network with academic and industry experts to advance the application of data science to business problems.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
