Principal Data Scientist - Recommendations, Online Data Science

Principal Data Scientist - Recommendations, Online Data Science

Join to apply for the Principal Data Scientist - Recommendations, Online Data Science role at The Home Depot

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Principal Data Scientist - Recommendations, Online Data Science

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Join to apply for the Principal Data Scientist - Recommendations, Online Data Science role at The Home Depot

Position Purpose

The Principal 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 leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.

Req
122790

Position Purpose

The Principal 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 leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.

As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. 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 requires networking with experts, both academic and industry, to further the application of data science to business problems.

Key Responsibilities

• 25% Solution Development - Utilize advanced 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;
Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations

• 20% Project Management & Team Support - Work with project teams and business partners to determine project goals;
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

• 20% Business Collaboration - Leverage extensive business knowledge into solution approach;
Effectively develop trust and collaboration with internal customers and cross-functional teams;
Provide general education on advanced analytics to technical and non-technical business partners;
Deep understanding of IT needs for the team to be successful in tackling business problems;
Actively seek out new business opportunities to leverage data science as a competitive advantage

• 35% 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;
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