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Jobs Rated1st
Job ID: 399251_en-us
Salary Range: null- null
Job Category: Finance/Acctng/Treasury/Investor Relatio
Employment type: Full Time
Position Description:
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
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:
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; 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
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
Nature and Scope:
This position typically reports to Manager or above
This position has 0 Direct Reports
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:
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