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Contractors’ Warehouse —
Lead Data Scientist – GenAI
Location – Atlanta, GA
Job ID – Req121512
Category – E-Commerce
Location – Atlanta, GA
Job ID – Req121512
Category – E-Commerce
Company Overview
What’s the best place we’ve ever built? The place where we work. At Home Depot, our goal is to provide the highest level of service, the broadest selection of products, and the most competitive prices. As the world’s largest home improvement specialty retailer, we operate more than 2,200 retail stores across North America. And each of our associates are focused one thing — helping our customers build and improve their homes, businesses, and ultimately their lives.
Pay Range
The pay range for this position is between $120,000.00 – $240,000.00.
Starting wage may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. The Home Depot offers additional competitive and non-financial benefits, which may include a performance-based bonus program or a profit sharing program depending on position.
Position Purpose:
The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. 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, this role leads data science communities across several business units.
Key Responsibilities:
- 30% Solution Development – Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- 25% Project Management & Team Support – Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units
- 20% Business Collaboration – Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage
- 25% Technical Exploration & Development – Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP
Direct Manager/Direct Reports:
- This position typically reports to manager or above
- This position has 0 Direct Reports and leads/manages projects
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.
- Demonstrated expertise in predictive modeling, data mining and data analysis
- Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
Preferred Qualifications:
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 10+ years of experience in business intelligence and analytics
- Expertise in a modern scripting language (preferably Python)
- Expertise running queries against data (preferably with Google BigQuery or SQL)
- Advanced knowledge of Microsoft Office Suite
- Expertise with data visualization software (preferably Tableau)
- Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
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:
- 10
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- 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
- Cultivates Innovation: Creating new and better ways for the organization to be successful
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Persuades: Using compelling arguments to gain the support and commitment of others
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
- Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications
The application window is anticipated to be closed on October 10, 2024.
Paid Time Off Benefits
Salaried associates are eligible for 2 weeks of vacation in their first year; FT hourly will be eligible for 40 hours of paid vacation time after 6 months of continuous service; (for positions in Washington State, Spokane, and Tacoma only) – Salary and Temporary associates will earn 1 hour of sick time for every 40 hours worked; FT associates will earn 1 hour of sick time for every 40 hours worked or 4 hours per month, whichever is greater; (for positions in Seattle only) – Salary and Temporary associates will earn 1 hour of sick time for every 30 hours worked; FT associates will earn 1 hour of sick time for every 30 hours worked or 4 hours per month, whichever is greater.
Location – Atlanta, GA
Job ID – Req121512
Category – E-Commerce
Role Overview
Position Purpose:
The Lead Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. 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, this role leads data science communities across several business units.
Key Responsibilities:
- 30% Solution Development – Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- 25% Project Management & Team Support – Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units
- 20% Business Collaboration – Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage
- 25% Technical Exploration & Development – Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP
Direct Manager/Direct Reports:
- This position typically reports to manager or above
- This position has 0 Direct Reports and leads/manages projects
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.
- Demonstrated expertise in predictive modeling, data mining and data analysis
- Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
Preferred Qualifications:
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 10+ years of experience in business intelligence and analytics
- Expertise in a modern scripting language (preferably Python)
- Expertise running queries against data (preferably with Google BigQuery or SQL)
- Advanced knowledge of Microsoft Office Suite
- Expertise with data visualization software (preferably Tableau)
- Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
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:
- 10
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- 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
- Cultivates Innovation: Creating new and better ways for the organization to be successful
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Persuades: Using compelling arguments to gain the support and commitment of others
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
- Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications
The application window is anticipated to be closed on October 10, 2024.
Paid Time Off Benefits
Salaried associates are eligible for 2 weeks of vacation in their first year; FT hourly will be eligible for 40 hours of paid vacation time after 6 months of continuous service; (for positions in Washington State, Spokane, and Tacoma only) – Salary and Temporary associates will earn 1 hour of sick time for every 40 hours worked; FT associates will earn 1 hour of sick time for every 40 hours worked or 4 hours per month, whichever is greater; (for positions in Seattle only) – Salary and Temporary associates will earn 1 hour of sick time for every 30 hours worked; FT associates will earn 1 hour of sick time for every 30 hours worked or 4 hours per month, whichever is greater.
Remote/virtual – An associate in a remote/virtual role typically is not required to work from a designated Home Depot location to complete their job duties. Limited or infrequent in-office presence may be required. We also refer to this as location – independent.
Learn more about our 4 different work locations. Additional information will be provided during the application process.
As part of the application process for this role, there will be an on-line assessment. The assessment usually takes about 17 minutes to complete. You will be directed to the assessment link immediately after submitting your application. Once you click on the link, you will need to complete it within 72 hours after starting it. You may stop and restart the assessment as many times as you like within the 72-hour time frame.
During the assessment, we’ll ask you questions about your approach to work and various work-related situations. The questions are based on characteristics that are related to performing successfully in hourly roles at The Home Depot, including:
- Professional Experience
- Learning Potential
- Responsibility
- Customer Focus
If you have a disability and would like to request an accommodation related to the assessment, or you would like to obtain more information about the assessment, click here to learn more.
Store Location
GA01
VIRTUAL
Atlanta, GA
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