Home Depot DATA SCIENTIST in Atlanta, Georgia
The Data Scientist will develop the analytical infrastructure and computational capabilities that drive decision making and impact the bottom line performance of homedepot.com. By partnering with business leaders and leveraging company and industry data, this role will develop predictive systems and algorithms for identifying trends and driving business solutions. This position's primary focus is to manipulate large datasets to extract meaningful business information using statistics and machine learning techniques.
MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES
50%-Design and develop algorithms and models to use against large datasets to create business insights
20%-Establish scalable, efficient processes for large scale data analyses, model development and model implementation
20%-Present analysis and resulting recommendations to senior management; Leverage data to present a compelling business case to optimize investments and operations
10%-Communicate and educate technical and non-technical employees on analytics and data-driven decision making
NATURE AND SCOPE
This position reports to Head of Data Science or Sr. Data Scientist
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.
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Additional Minimum Qualifications:
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
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.
Master's in Computer Science, Math or related quantitative field (or BS/BA in Computer Science, Math or related quantitative field and 5 years of data mining experience).
Work experience with Hadoop, SAS, HBASE, Cassandra or other similar development platforms.
Expert knowledge in large scale information retrieval and statistical analysis.
3 years of experience in data mining and statistical analysis
Previous work experience in ecommerce
Experience with large-scale data analysis and a demonstrated ability 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 work environment and meet aggressive deadlines
Ability to work with technical and non-technical team members 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.
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.