The Home Depot is able to offer virtual employment of this position in the following states:
AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY
Position Purpose:
The Sr. 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. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. 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, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
30% Project Management & Team Support - Work with project teams and business partners to determine project goals; 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
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; 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; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
This position reports to manager or above
This position has 0 Direct Reports
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
Proficient in time series forecasting and deep learning techniques
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
6+ years of experience in business intelligence and analytics
Working knowledge of Microsoft Excel and Power Point
Proficient in a modern scripting language (preferably Python)
Proficient running queries against data (preferably with Google BigQuery or SQL)
Proficient with data visualization software (preferably Tableau)
Mastery utilizing statistical techniques to identify key insights that help solve business problems
Demonstrated proficiency in predictive modeling, data mining and data analysis
Minimum Education:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
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
Customer Focus: Building strong customer relationships and delivering customer-centric solutions
Develops Talent: Developing people to meet both their career goals and the organization's goals
Directs Work: Provides direction, delegating and removing obstacles to get work done
Drives Results: Consistently achieving results, even under tough circumstances
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
PAY RANGE
PAY RANGE
Starting pay may vary based on factors including, but not limited to, position offered and location.
$90,000.00 - $190,000.00
Work Location
Work Location
Remote/virtual - Associates in remote roles complete their primary job responsibilities from home. Depending on the position, a remote role may be entirely virtual or it may require living within a commutable distance of an assigned company office to support occasional, in-person responsibilities.
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Work Location
Onsite - An associate in an onsite role works in a specific Home Depot location in order to complete their job duties.
Multisite - An associate in a multisite role works from multiple locations (e.g. Home Depot location or a customer's homes) to complete their job duties.
Hybrid - A hybrid role blends in-office and remote/virtual work locations. An associate will work from a designated Home Depot location on some days and remote/virtually on others.
Remote/virtual - An associate in a remote/virtual role does not have to be at a designated Home Depot location to complete their job duties.
Close
| Location | GA (Remote) |
| Industry | Construction - Residential & Commercial/Office |
| Salary | $90,000–$190,000 Per Year |
| Company Size | 10,000 employees or more |
| Website | https://careers.homedepot.com/ |
As an essential retailer to the communities we serve, our stores are open and our warehouse distribution centers are running. We’re taking measures to keep our associates safe, including:
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