1+ months

Lead Data Scientist, Decision Analytics (Pipeline)

Atlanta, GA 30339
JobTitle: Lead Data Scientist, Decision Analytics (Pipeline)
Job ID: 399258_en-us
Salary Range: 0.0- 0.0
Job Category: Finance/Acctng/Treasury/Investor Relatio
Employment type: Full Time

Position Description:
Position Purpose:
The Lead 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 by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. 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, this role leads data science communities across several business units.

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:
30% Solution Development - Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation


25% Project Management & Team Support - Lead and manage large and complex projects and teams; 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; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive; Lead data science communities across several business units


20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide technical education on advanced analytics to data science community; Partner with IT to understand potential for new tools and ways to maintain technical agility for data science; Actively seek out new business opportunities to leverage data science as a competitive advantage


25% Technical Exploration & Development - Seek further knowledge on key developments within data science by attending conferences and publishing papers; 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; Ownership of library of reusable algorithms for future use, ensure developed code/models are documented; Develop mastery in one or more prescriptive modeling techniques, like optimization, computer vision, recommendation, search or NLP

Nature and Scope:
This position typically reports to manager or above


This position has 0 Direct Reports and leads/manages projects

Environmental Job Requirements:
Environment:
1. Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.

Additional Environmental Job Requirements:




Categories

Posted: 2022-03-18 Expires: 2022-05-18

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Lead Data Scientist, Decision Analytics (Pipeline)

Home Depot, Inc.
Atlanta, GA 30339

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