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SR DATA SCIENTIST - BLACK LOCUS

Home Depot


Location:
Austin, TX
Date:
01/17/2018
2018-01-172018-02-15
Job Code:
113559
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Job Details

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

SR DATA SCIENTIST - BLACK LOCUS (113559)

TX - Austin

  • Date Posted: Jan 9, 2018
  • Company: The Home Depot
  • Travel: None
  • Functional Area: Merchandising
  • Position Type: Full-Time
  • Relocation Provided: No




Position Description:
POSITION PURPOSE

The primary role of this position is to provide leadership in developing data science solutions to optimize operations and revenue for the business, and to ensure that the techniques and methods are appropriate, effective and leading-edge. Specific responsibilities of the position include:

  • Optimizing product matching, classification, and assortment
  • Developing price/demand models and optimizing business revenue
  • Building pricing solutions and local pricing strategies
  • Working closely with the engineering team and building a competitive advantage with innovative technology/methodology
  • Developing research agendas and implementation plans
  • Conducting research into new or alternative methods and techniques

MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES

The primary requirement for this role is demonstrated expertise in operations research and statistics. In addition, senior scientists will possess the ability to solve analytic and software problems, think creatively and work effectively with teams of professionals engaged in tackling real-world business problems.

  • Ph.D. or Masters degree with 5 years industrial experience in Operations Research, Industrial Engineering, Statistics, Machine Learning, Data Mining, or related discipline
  • At least 3 years performing substantive design and analysis work in demand modeling, revenue management, or pricing optimization
  • Solid understanding in Big Data technologies and applications (Hadoop, MapReduce, Hive, Hbase, etc.)
  • Solid experience in database management (MS SQL, MySQL, Postgres, etc) and developing analytic solutions using statistical tools (e.g. R, SAS, or similar)
  • Strong programming skills with a solid understanding of object oriented languages and principles
  • Solid hands on coding data science solutions in Python, Java, C++, or similar
  • Sound presentation skills and visualizing complicated data science results in Tableau, Microstrategy, or similar
  • Strong team player
  • Strong communication and interpersonal skills
  • Curious and interested in learning about the core challenges facing The Home Depot, then crafting hypotheses to test.  
  • Willing to travel as needed
NATURE AND SCOPE
Position reports to Director Engineering BL Lab
Number of direct reports = 1
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.
Additional Minimum Qualifications:

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: 6 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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