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 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.         
Major Tasks, Responsibilities & Key Accountabilities:

70% Solution Development – Design and implement enhancements to BlackLocus’ pricing products; 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; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation

10% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team

5% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage

15% Technical Exploration & Development - 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 (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documentedNature and Scope:
This position typically reports to Manager or above and has 0 Direct Reports

Environmental Job Requirements:
Environment:
1. Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.