BlackLocus is an innovation lab operating within The Home Depot, a $150+ billion-dollar company and the top home-improvement retailer. In addition to collecting and enriching competitive intelligence, BlackLocus leverages the latter and other data sources in software products that provide prescriptive recommendations.
A BlackLocus Senior Data Scientist solves difficult business problems with advanced statistics, machine learning, and optimization. They are responsible for thought leadership in data science and software design. Moreover, they participate in the full life cycle of analytics, from concept to final prototype. This specific position will focus on maintaining and enhancing BlackLocus’ pricing products.
The Home Depot is able to offer virtual employment of this position in the following states:
For Nevada and New York City residents: The pay range for this position is between $110k and $160k. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience.
The Home Depot offers additional competitive financial and non-financial benefits, which may include a performance-based bonus program or a profit-sharing program depending on position.
Standard Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States.
Education Required: The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.
Years of Relevant Work Experience:
Varies by degree and type of experience
Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Additional Qualifications: Demonstrated proficiency in predictive modeling, data mining and data analysis
– PhD in quantitative field (Statistics, Operations Research, Economics, Computer Science, etc.)
– Expert in Python
– Proficient in SQL
– Mastery utilizing statistical, machine learning, and optimization techniques
– Price recommendation and optimization experience
Innovating and Implementing Solutions for Customer Needs: Our data science associates at The Home Depot use cutting-edge technology and new retail concepts to create a seamless interconnected experience between e-commerce and 2,200+ retail locations.