Senior Data Scientist - Supply ChainThe Home Depot, Inc. - Atlanta, GA
A Senior Data Scientist leverages their technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Senior Data Scientists are responsible for proposing, analyzing, and then sharing insights gleaned from data. Develops predictive systems and algorithms for identifying trends and driving business solutions. Utilizes industry-leading standards for working with very large datasets to extract meaningful business information using statistics, machine learning, and heuristics. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Works within a defined scope of the business and proposes new solutions based on data analyses. Regularly communicates the output of their work and provides recommendations to senior leadership.
MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES
25%-Designs and develops algorithms and models that use large datasets to derive business insights.
25%- Establishes scalable and efficient processes for large scale data analyses, model development, and model implementation.
20%- Presents findings in easily understood ways and focuses on how data analytics fits into the bigger picture.
20%- Mentors and develops the technical skills of Sr. Analysts and Data Scientists.
10%- Defines best practices and articulates a clear vision for how data analyses should be done.
NATURE AND SCOPE
Position reports to Senior Director Supply Chain
This position has no direct reports
ENVIRONMENTAL JOB REQUIREMENTS
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Typically requires overnight travel less than 10% of the time.
Additional Environmental Job Requirements: MINIMUM QUALIFICATIONS
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
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.
Years of Relevant Work Experience: 5 years
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.
B.S. in Computer Science, Math, Engineering, or related quantitative field.
Work experience with SQL Server, Teradata, Oracle, or comparable database systems.
Expert knowledge in large scale information retrieval and statistical analysis.
Work experience in data mining, statistical analysis, and/or forecasting.
A Master's degree in Analytics, Engineering, Math, Statistics, or related quantitative field.
Advanced technical skills to retrieve, manipulate, analyze and interpret large amounts of data (>1 billion rows).
A thorough understanding of SQL and advanced knowledge of one other scripting/compiled/statistical programming language (VBA, Python, R, SAS, .NET, C , Java).
Prior direct experience in analyzing the relevant subject matter (Supply Chain, Merchandising, Operations).
Knowledge, Skills, Abilities and Competencies:
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
Ability to build scalable systems and solutions that analyze huge data sets and make actionable recommendations.
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
Ability to quickly adapt to new technologies, tools, and techniques.
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.
107 days 4 hours ago
applySenior Data Scientist - Supply Chain The Home Depot, Inc. - Atlanta, GA, United States
The Home Depot was founded in 1978 by Bernie Marcus and Arthur Blank. Along with investment banker Ken Langone and merchandising guru Pat Farrah, the founders’ vision of one-stop shopping for the do-it-yourselfer came to fruition when they opened the first two Home Depot stores on June 22, 1979, in Atlanta, Georgia. The first stores, at around 60,000 square feet each, were cavernous warehouses that dwarfed the competition and stocked 25,000 SKUs, much more than the average hardware store at that time. Empty boxes piled high on the shelves gave the illusion of even more product. From the start, associates were able to offer the best customer service in the industry, guiding customers through projects such as laying tile, changing a fill valve or handling a power tool. Not only did store associates undergo rigorous product knowledge training, but they also began offering clinics so customers could learn how to do it themselves. The Home Depot revolutionized the home improvement industry by bringing the know-how and the tools to the consumer and by saving them money.
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