Manager, Data Science

Home Depot / THD Atlanta, Georgia
manager data data science science data team data science science people technical analytics management manager
November 25, 2022
Home Depot / THD
Atlanta, Georgia
Position Purpose:

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . 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.

As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

Decision Analytics (“DA”) is one of the largest and most seasoned analytics organizations at Home Depot. Our model as a Center of Excellence provides associates with the unique opportunities to work directly with different functions within the organization and build data driven solutions to support the company's key strategic initiatives. As a centralized team, we are nimble and select projects based on enterprise priority and fit for data science. Our data scientists are involved in all facets of the project from problem identification, coding & model building, presentations to senior leadership, product development and more.

As a data science team, we aim to develop the whole associate, with training programs ranging from Python to presentations development. We are seeking entrepreneurial candidates with long-term career interests for both individual contributor roles & management tracks. Our associates are involved in key strategic projects on day one and make significant and measurable contributions to the organization. We are well funded and have close partnerships with IT, and our associates often assist in productionalizing their data science solutions into enterprise solutions and products.

For this specific role, focus areas include, but not limited to: Customer & Channel Analytics including Enterprise Pro (Pro Intelligence), Merchandising, Finance, One Supply Chain and more. Please contact the hiring manager for specifics.

Major Tasks, Responsibilities & Key Accountabilities:

40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments

25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts

15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management

20% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged

Nature and Scope:

This position typically reports to Senior Manager or above

This position has Direct Reports & manages programs

Environmental Job Requirements:


1. Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Typically requires overnight travel 5% to 20% of the time.

Additional Environmental Job Requirements:

Standard Minimum Qualifications:

Must be eighteen years of age or older.

Must be legally permitted to work in the United States.

Additional Minimum Qualifications:

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:

8 years

Certifications & Licenses:

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.

Additional Qualifications:

  • Demonstrated proficiency in predictive modeling, data mining and data analysis
  • Experience managing and growing team members in a professional setting

Preferred Qualifications:

  • 9+ years of experience in business intelligence and analytics
  • Previous people or project team management experience
  • Expertise in predictive modeling, data mining and data analysis
  • Mastery 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

Knowledge, Skills, Abilities and Competencies:

  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • 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
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • 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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
  • Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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