DATA SCIENTIST

The Home Depot•Atlanta, GA

About The Position

The Data Scientist supports data science initiatives that drive business profitability, increase efficiencies, and improve customer experience. The role applies analytical methodologies to large datasets to extract business insights and solve business problems, and designs and develops algorithms and models to produce those insights. The position contributes technical leadership to analytics project teams and may lead small projects or work independently on solution development. It communicates findings and recommendations to technical and non-technical leaders, business customers, and partners, and helps align recommendations with appropriate implementation. The role also develops and maintains documented, reusable algorithms and replicable solutions, such as codified data products, project documentation, and process flowcharts, so work can be leveraged in future projects. Telecommuting is available.

Requirements

Must be at least 18 years of age.
Must be legally permitted to work in the United States.
Master’s degree in Data Science, Data Analytics, Mathematics, Statistics, Business Analytics, Business Administration, or a related field.
Four years of experience in a related occupation.
Three years of experience with Microsoft Excel, including pivot tables and formulas.
Three years of experience with Python for analytical and machine learning tasks using libraries such as NumPy, pandas, scikit-learn, and matplotlib.
Three years of experience running queries against data using Google BigQuery or SQL.
Three years of advanced SQL experience, including stored procedures and common table expressions (CTEs).
Three years of experience with Tableau, including working with large datasets connected to dashboards for quick insight retrieval.
Three years of experience using statistical techniques to identify insights that help solve business problems.
Three years of experience in prescriptive modeling, including optimization, computer vision, recommendation methods (ALS or collaborative filtering), search, or NLP; and predictive modeling, including logistic or linear regression, decision trees, XGB, data mining, and data analysis.

Responsibilities

Support data science initiatives that drive business profitability, increased efficiencies, and improved customer experience.
Apply analytical methodologies to large datasets to extract meaningful business insights and solve business problems.
Design and develop algorithms and models for large datasets to create business insights.
Document developed code and maintain a library of reusable algorithms.
Serve as a technical lead for analytics projects on large data analytics project teams.
May lead small projects and work independently on solution development.
Select, use, and interpret advanced analytical methodologies appropriately.
Communicate insights, recommendations, and their impacts to technical and non-technical leaders, business customers, partners, and cross-functional teams.
Present recommendations confidently to influence execution and support alignment and implementation.
Prepare project or solution progress reports, updates, and presentations.
Incorporate business knowledge into solution approaches and collaborate with project teams and business partners to determine project goals.
Seek knowledge of developments in data science, technical skill sets, and additional data sources.
Contribute to continuous improvement by developing replicable solutions, including codified data products, project documentation, and process flowcharts.