Data Scientist, RPA

The Home Depot

Atlanta, GA

Full Time

Mid Level

about 1 month ago

Job Description

About the Role

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. The role involves applying advanced analytics methods and algorithms to identify trends and provide business solutions, presenting insights to non-technical audiences, and collaborating with business partners and cross-functional teams.

Key Responsibilities

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 confidently to influence execution; prepare reports, updates, and presentations related to project progress; clearly communicate impacts of recommendations to drive alignment and implementation
Incorporate business knowledge into solution approach; 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; build and maintain a library of reusable algorithms, ensuring codes are documented

Requirements

Must be eighteen years of age or older
Must be legally permitted to work in the United States
Minimum of 3 years of work experience in business intelligence and analytics
Knowledge of Microsoft Excel and PowerPoint
Experience in a modern scripting language (preferably Python)
Proficient in running queries against data (preferably with Google BigQuery or SQL)
Proficient with data visualization software (preferably Tableau)
Ability to utilize statistical techniques to identify key insights that help solve business problems
Knowledgeable in prescriptive modeling such as optimization, computer vision, recommendation, search, or NLP
Demonstrated experience in predictive modeling, data mining, and data analysis
Minimum education: Bachelor's degree or equivalent in a related field

Nice to Have

Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
4+ years of experience in business intelligence and analytics
Working knowledge of Microsoft Excel and PowerPoint
Experience in a modern scripting language (preferably Python)
Proficient running queries against data (preferably with Google BigQuery or SQL)
Proficient with data visualization software (preferably Tableau)
Knowledgeable in prescriptive modeling like optimization, computer vision, recommendation, search or NLP
Demonstrated experience in predictive modeling, data mining and data analysis

Qualifications

Bachelor's degree or equivalent in a related field

Working at The Home Depot

The role emphasizes collaboration, continuous learning, action orientation, customer focus, and driving results. The candidate should be proactive in self-development, adaptable, and able to work effectively within a team environment.

Apply Now