[Hiring] Senior Data Scientist @The Home Depot

Role Description

The Sr. Data Scientist will lead a team to develop the analytical infrastructure and computational capabilities that drive decision making and maximize the organization's profitability. By partnering with business leaders and software engineers to leverage company and industry data, the data scientist will develop predictive systems and algorithms for identifying trends and providing business solutions. The Sr. Data Scientist is an integral part of the Pricing Team, focusing on driving data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques.

Key Responsibilities

• Design and develop algorithms and models to use against large datasets to create business insights (25%)
• Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports (25%)
• Establish scalable, efficient processes for large scale data analyses, model development and model implementation (20%)
• Solve problems creatively with strategic insights; leverage data to present a compelling business case to optimize price points (20%)
• Remain knowledgeable on advancements in data science and machine learning; identify opportunities to apply learnings (10%)

Direct Manager/Direct Reports

• Position reports to Director Engineering BL Lab
• Number of direct reports = 1

Travel Requirements

• Typically requires overnight travel less than 10% of the time

Physical Requirements

• Most of the time is spent sitting in a comfortable position with frequent opportunity to move about
• On rare occasions, there may be a need to move or lift light articles

Working Conditions

• Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable

Qualifications

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

Preferred Qualifications

• Experience in data mining, data analysis and predictive modeling
• Previous work experience in business intelligence and data analytics
• Proven experience utilizing statistical techniques to identify key insights from data to solve business problems
• PhD in Computer Science, Math or related quantitative field
• Expert knowledge in manipulating massive datasets, statistical analysis and predictive modeling

Minimum Education

• 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

Minimum Years of Work Experience

• 7

Competencies

• Ability to build scalable systems that analyze huge data sets and make actionable recommendations
• Strong communication and data presentation skills
• Ability to quickly adapt to new technologies, tools and techniques
• Flexible and responsive; able to perform in a fast-paced, dynamic, decision-making environment and meet aggressive timelines

Benefits

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