Remote Data Scientist, Pricing & Forecasting

The Home Depot; New York (NY); Remote; 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 Data Scientist position focuses on leading price optimization efforts through forecasting outcomes and promotions. You will help build the advanced analytics infrastructure that informs business decisions and identify opportunities to leverage data science as a competitive advantage.

You will apply advanced analytics methods and present insights to non-technical audiences, collaborating with business partners and cross-functional teams to drive profitability and improved customer

Qualifications

• 3+ years of experience in business intelligence and analytics
• PhD in a quantitative field preferred
• 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

Responsibilities

• Design and develop algorithms and models for large datasets to create business insights
• Communicate insights and recommendations to technical and non-technical leaders and business customers/partners
• Collaborate with internal customers and cross-functional teams to determine project goals
• Seek further knowledge on data science developments and build reusable algorithm libraries

Skills

Python

SQL

Forecasting

Predictive modelling

Data mining

Education

Bachelor's degree

PhD preferred

Job description

The Home Depot Data Scientist position focuses on leading price optimization efforts through forecasting outcomes and promotions. You will help build the advanced analytics infrastructure that informs business decisions and identify opportunities to leverage data science as a competitive advantage.

You will apply advanced analytics methods and present insights to non-technical audiences, collaborating with business partners and cross-functional teams to drive profitability and improved customer