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About the Role
The Home Depot offers a career where you can be yourself and be part of something bigger.
Responsibilities
- Support data science initiatives that drive business profitability, increased efficiencies, and improved customer experience.
- Apply industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems.
- Ensure that developed codes are documented into a library of reusable algorithms.
- Design and develop algorithms and models to use against large datasets to create business insights.
- Participate 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.
- 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.
- 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.
- 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 (e.g., codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects.
- Build and maintain a library of reusable algorithms for future use, ensuring developed codes are documented.
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Skills
- Microsoft and Excel, including experience in pivot tables and excel formulas
- Modern scripting language (Python), including experience performing analytical and machine learning tasks using Python libraries like numpy, pandas, scikitlearn, matplotlib
- Running queries against data with Google BigQuery or SQL
- Advanced SQL skills including working with stored procedures and CTEs
- Data visualization software (Tableau), including working with huge datasets connected to dashboards that can be accessed for quick insights retrieval
- Utilizing statistical techniques to identify key insights that help solve business problems
- Prescriptive Modeling including optimization, computer vision, recommendation (ALS, Collaborative Filtering), search, or NLP
- Predictive modeling including Logistic/Linear Regression, Decision Trees, XGB, data mining and data analysis
Location
- Telecommuting available
Work Type
- Full-time
Experience Level
- 4 years of experience in a related occupation
- 3 years of experience in the listed skills
Education Level
- Master’s degree in Data Science, Data Analytics, Mathematics, Statistics, Business Analytics, Business Administration, or a related field
About the Company
- The Home Depot offers a career where you can be yourself and also be part of something bigger.