Data Scientist, Pricing (Optimization & Deep Learning)

The Home Depot•GEORGIA - VIRTUAL - GA01, GA

3d•$90,000 - $160,000•Remote

About The Position

The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions, and needs experience with optimization and leveraging Deep Learning solutions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be proficient in optimization and deep learning techniques. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3+ years of experience in business intelligence and analytics
Proficient in Python and SQL
Mastery utilizing statistical techniques to identify key insights that help solve business problems
Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
Demonstrated proficiency in predictive modelling, data mining, and data analysis
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.
3 years of experience

Nice To Haves

Proficient with Linear Optimization tools (Gurobi preferred)
Past experience developing Optimization solutions and Deep Learning solutions in a professional environment
PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
No additional education
No additional years of experience
None

Responsibilities

Design and develop algorithms and models to use against large datasets to create business insights
Participates 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 in a confident manner in order to influence execution of recommendation
Prepare reports, updates and/or presentations related to progress made on a project or solution
Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
Incorporate business knowledge into solution approach
Effectively 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 (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects
Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented