Data Scientist, Pricing (Forecasting & Deep Learning)

Summary

The Home Depot is a home improvement retailer seeking a Data Scientist to support price optimization using future forecasts of prices and promotions. The role leads data science initiatives, develops advanced analytics solutions, communicates insights to technical and non-technical stakeholders, and collaborates with business and cross-functional teams.

Responsibilities

• 55% Solution Development - 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
• 20% Communicating Results - 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
• 10% Business Collaboration - 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
• 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; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Skills

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• 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
• Past experience developing forecasting solutions and Deep Learning solutions in a professional environment
• 3+ years of experience in business intelligence and analytics
• PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
• 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

Qualifications

Must Haves

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• 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

Nice to Haves

• Past experience developing forecasting solutions and Deep Learning solutions in a professional environment
• 3+ years of experience in business intelligence and analytics
• PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
• 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

Benefits

• Health care benefits
• 401K
• ESPP
• Paid time off
• Success sharing bonus