Home Depot DATA SCIENTIST I in Vancouver, Washington
The Data Scientist I will possess a broad skill set with great depth associated with any of the following skills: data mining, statistics, machine learning, programming, data modeling, database design, retail domain knowledge, and reporting.
Specifically, the person will assist in the development of the Home Depot advanced analytical infrastructure, process, and capabilities that informs decision making. The Data Scientist I will also serve as a mentor for others and provide on-the-job training and/or guidance. Additionally, the Data Scientist I will develop and reinforce partnerships with various business units and lead large-scope data projects that will enable advanced analytics projects to be successful in a variety of implementation scenarios.
This role will use a variety of technologies to utilize newer data platforms that allow for the storage and analysis of large volumes of data. This person will assist the team in leveraging these platforms across a variety of analytical applications to serve the business. In addition to utilizing standard Descriptive and Predictive methodologies, the scope of the job will also include the development applications such as classification, association analysis, cluster analysis and anomaly detection.
MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES
30%-Design, develop, and implement advanced analytical architectures to enable business insights
20%-Codes, Analyzes and Interprets advanced analytical methods applied to data from various sources. Compiles reports, charts, and tables based on business requirements.
20%-Utilize, enhance, and support the Home Depot Advanced Analytics Process Framework in projects. Assist in the evaluation of software, technologies, and platforms to optimize the advanced analytical environment. Function as a technical liaison between the business and various I.T. functional leads for advanced analytical project
20%-Consult with business teams on the appropriate selection, utilization, and interpretation of advanced statistical methodologies.
5%-Assist project teams with the creation and review of relevant project artifacts, particularly in respect to I.T. Review Board tollgates.
5%-Communicate and educate technical and non-technical employees on advanced analytics.
NATURE AND SCOPE
This position reports to Manager or Sr Manager
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.
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: 7 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.
Extensive work experience with large database platforms (e.g., Teradata, ParAccel, Hadoop, Mahout, Cassandra, etc.) or other similar platforms
Broad Experience in Data Modeling
Broad Experience with Business Requirements Analysis
Broad Experience with Business Intelligence reporting
Broad Experience with analytical application design
Master's Degree in Statistics, Math or related quantitative field
Extensive work experience in Application Development, Data Mining, Data Modeling, and Statistical Analysis
Previous work experience in Retail
Broad experience with large-scale data analysis and a demonstrated ability to identify key insights from data to solve business problems
Extensive programming experience in Java
Knowledge, Skills, Abilities and Competencies:
Ability to design and implement advanced analytical applications
Statistical Analysis skills
Data Visualization skills
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.