Sr. Data Scientist - Network Strategy

The Home Depot

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

11 days ago

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Job summary

The Home Depot is seeking a Sr. Data Scientist to lead analytics initiatives, help advance our analytics infrastructure, and leverage data science as a competitive advantage.

You will work across teams to apply optimization, computer vision, recommendations, search, and NLP to drive profitability and customer experience. Ideal candidates will have PhD in a quantitative field or 6+ years in BI/analytics, strong Python/SQL skills, and expertise with Tableau and Google BigQuery.

Qualifications

PhD in a quantitative field and 6+ years of analytics experience.
6+ years of experience in business intelligence and analytics.
Proficient in Microsoft Excel and PowerPoint.
Proficient in a modern scripting language (Python).
Proficient running queries against data (Google BigQuery/SQL).
Proficient with data visualization software (Tableau).
Mastery of statistical techniques to identify key insights for business problems.
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP.
Experience in predictive modeling, data mining and data analysis.

Responsibilities

35% Solution Development—design and develop models to derive business insights from large datasets; communicate results to technical and non-technical stakeholders; prepare progress reports.
30% Project Management & Team Support—define goals, prioritize work, mentor juniors, and assist in workload/resource planning.
20% Business Collaboration—translate business needs into analytics solutions; build trust with internal customers and cross-functional teams.
15% Technical Exploration & Development—continue learning, codify data products, document processes, and contribute reusable algorithms.

Skills

Python

SQL

BigQuery

Tableau

Excel

PowerPoint

Data Visualization

Prescriptive Modeling

Predictive Modeling

Data Mining

NLP

Optimization

Computer Vision

Education

PhD in a quantitative field (Computer Science, Math, Statistics)

Bachelor's degree or equivalent

Tools

Google BigQuery

Job description

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. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

Position Purpose

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

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.

Preferred Qualifications

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
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
Demonstrated proficiency in predictive modeling, data mining and data analysis

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

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
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