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DATA SCIENTIST - BLACK LOCUS

Home Depot


Location:
Austin, TX
Date:
01/17/2018
2018-01-172018-02-15
Job Code:
113593
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Job Details

DATA SCIENTIST - BLACK LOCUS - Austin TX 78721 Skip Navigation
Job Details

DATA SCIENTIST - BLACK LOCUS (113593)

TX - Austin

  • Date Posted: Jan 9, 2018
  • Company: The Home Depot
  • Travel: 0-10%
  • Functional Area: Merchandising
  • Position Type: Full-Time
  • Relocation Provided: No




Position Description:
POSITION PURPOSE
Data Scientist will 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 Data Scientist is an integral part of the Pricing Team. The data scientists team's primary focus is driving data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques.
MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES
50% Design and develop algorithms and models to use against large datasets to create business insights.
20% Establishing 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.
10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.
NATURE AND SCOPE
Position reports to Sr Data Science BL Lab
No direct reports
ENVIRONMENTAL JOB REQUIREMENTS
Environment:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Travel:
Typically requires overnight travel less than 10% of the time.


ESSENTIAL SKILLS:
MINIMUM QUALIFICATIONS
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Education Required:
The knowledge, skills, and abilities typically acquired through the completion of a PhD program in a field of study related to the job.
Years of Relevant Work Experience: 4 years
Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.
Additional Qualifications:
PhD in Computer Science, Math or related quantitative field.
Expert knowledge in manipulating massive datasets, statistical analysis, and predictive modeling.
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
Knowledge, Skills, Abilities, and 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


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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