Automation-Driven Data Scientist for Decision Science

Homedepot

United States

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

The Home Depot in the United States is seeking a Data Scientist to support data science initiatives that drive profitability, efficiency and customer experience. You will apply advanced analytics to large datasets and develop reusable algorithms.

You will present insights to non-technical audiences and collaborate with cross-functional teams to build data products. Preferred qualifications include a Master's degree in a quantitative field, 4+ years in BI/analytics, Python, SQL, and Tableau

Qualifications

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
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 Power Point.
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).
Proficient utilizing statistical techniques to identify key insights that help solve business problems.
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP.
Demonstrated experience in predictive modeling, data mining and data analysis.

Responsibilities

55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; May lead small projects and work independently on solution development.
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners.
10% Business Collaboration - Incorporate business knowledge into solution approach; Develop trust and collaboration with internal customers and cross-functional teams.
15% Technical Exploration & Development - Seek knowledge on key developments in data science; develop replicable solutions and build a library of reusable algorithms.