Data Science Manager, Merchandising Execution Team (Remote)

The MET (Merchandising Execution Team) Data Science team drives business profitability through data science projects that support and optimize MET initiatives. This team works closely with other Data Scientists as well as Business Analysts and Field leaders to empathize with users, fully understanding the problems and developing solutions. The data science team is responsible for implementing advanced statistics and machine learning techniques that optimize THD sales, MET profitability and MET productivity. Lastly, the Data Science Team is also responsible for leading MET in measurement best practices, ensuring MET's initiatives are measured against their intended result.

The MET 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. The MET Data Science Manager will need to be proficient in optimization and recommendation with some experience in NLP preferred.

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.

• 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

Pay Range

For Colorado, Connecticut, and New York City Residents: The pay range for this position is between $110,000-$240,000
Starting salary 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 financial and non-financial benefits, which may include a performance-based bonus program or a profit sharing program depending on position.

Environmental Job Requirements:

Environment: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Travel: Typically requires overnight travel 5% to 20% of the time.

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

• 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
• Proficiency with scaled data architecture development

• 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