Remote Pricing Data Scientist: Forecasting & Analytics Lead

Home Depot; Georgia; Hybrid; USD 90,000 - 160,000; Full time

Benefits offered by this job

Health care benefits

401K

ESPP

Paid time off

Success sharing bonus

Job summary

The Home Depot is seeking a Data Scientist to lead price optimization initiatives using forecasted outcomes for prices and promotions. You will develop analytics infrastructure and present insights to non-technical audiences, partnering with cross-functional teams to drive profitability and improved customer experience.

Ideal candidates will have 3+ years in BI/analytics, proficiency in Python and SQL, and a PhD or advanced degree in a quantitative field preferred.

Qualifications

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

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

Communication

Collaboration

Business Insight

Problem Solving

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Job description

The Home Depot is seeking a Data Scientist to lead price optimization initiatives using forecasted outcomes for prices and promotions. You will develop analytics infrastructure and present insights to non-technical audiences, partnering with cross-functional teams to drive profitability and improved customer experience.

Ideal candidates will have 3+ years in BI/analytics, proficiency in Python and SQL, and a PhD or advanced degree in a quantitative field preferred.