The Home Depot is able to offer virtual employment of this position in the following states:
AZ, AK, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY
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, statistical modeling and 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.
Major Tasks, Responsibilities and Key Accountabilities
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
NATURE AND SCOPE
This position typically reports to manager or above
This position has 0 Direct Reports and leads/manages projects
ENVIRONMENTAL JOB REQUIREMENTS
Environment:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.
Additional Environmental Job Requirements
ESSENTIAL SKILLS:MINIMUM QUALIFICATIONS
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Additional Minimum Qualifications:
- Demonstrated expertise in predictive modeling, data mining and data analysis
- Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems
Education Required:
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.
Years of Relevant Work Experience:
6+ years industry experience
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.
Preferred Qualifications:
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
- 6+ years of experience in building data science models in the industry
- 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 with statistical modeling and ML models (regression, decision trees, random forest and etc.) with the real data
- Expertise with linear and nonlinear optimization
- Familiarity with the version control systems (GitHub and etc.) and dev-ops.
- Familiarity with NLP
- Hands on experience with demand modeling and pricing
Knowledge, Skills, Abilities and 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
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.