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Data Science Manager (Deep Learning)
Data Science Manager (Deep Learning)Home Depot • Atlanta, GA, US
Data Science Manager (Deep Learning)

Data Science Manager (Deep Learning)

Home Depot • Atlanta, GA, US
Hace 2 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Data Science Manager

With a career at The Home Depot, you can be yourself and also be part of something bigger.

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.

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 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.

Key Responsibilities :

40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists; Attract, retain and develop top talent; Support team in development of business knowledge and technical skills; Manage resources effectively; Foster collaboration with team members; Drive team's results

25% Project Management - Prioritize and assign projects; Manage programs for the team; Collaborate with program managers and business partners; Provide executive updates; Serve as escalation point

20% Technical Exploration & Development - Seek further knowledge on key developments; Participate in continuous improvement; Ensure best practices

15% Strategy & Business Development - Leverage business knowledge and relationships; Develop trust and collaboration; Ensure alignment with IT support model; Collaborate with other data science managers

Direct Manager / Direct Reports :

This position typically reports to Senior Manager or above

This position has Direct Reports & manages programs

Travel Requirements :

Typically requires overnight travel 5% to 20% 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 :

Experience taking a deep learning solution from end to end

Previous people or project team management experience

9+ years of experience in business intelligence and analytics

Expertise in predictive modeling, data mining and data analysis

Mastery running queries against data

Proficient with data visualization software

Mastery utilizing statistical techniques

Proficient in Prescriptive Modeling

Experience managing and growing team members

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 :

Competencies :

Attracts Top Talent : Attracting and selecting the best talent

Builds Effective Teams : Building strong-identity teams

Builds Networks : Effectively building relationship networks

Business Insight : Applying knowledge of the business

Communicates Effectively : Developing and delivering multi-mode communications

Develops Talent : Developing people to meet career and organizational goals

Directs Work : Provides direction, delegating and removing obstacles

Drives Engagement : Creating an environment where people are motivated

Drives Vision and Purpose : Painting a compelling picture of the vision

Instills Trust : Gaining the confidence and trust of others

Interpersonal Savvy : Relating openly and comfortably with diverse groups

Organizational Savvy : Maneuvering through complex policy, process, and people-related dynamics

Persuades : Using compelling arguments to gain support

Strategic Mindset : Seeing ahead to future possibilities

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Data Science Manager • Atlanta, GA, US

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