Job Title:

Expert Data Scientist

Department:

Data Analytics/Warehousing, & Business Intelligence

Country:

United States of America

State/Province:

Arkansas

City:

Lowell

Full/Part Time:

Full time

Job Summary:

The position is responsible for employing advanced predictive, text and forecasting models that have a significant impact on our logistics services. The incumbent will also be responsible for interpreting internal or external business issues, recommending solutions or best practices, and helping to drive the collection of new external and internal data sets in order to improve our modeling capabilities. The incumbent may occasionally be required to lead multidisciplinary project teams.

Job Description:

Key Responsibilities:

• Clearly communicates and formally presents results and ideas to key decision makers.
• Creates and employs advanced predictive modeling, text mining, and forecasting methods.
• Collaborates with business and engineering departments to understand company needs.
• Works on advanced analytics projects independently in a complex environment.
• Keeps up-to-date with analytics technology and understands their utility for daily operations.
• Provides guidance to other technology departments on data requirements and use cases.
• Assists in leading analytics project scoping discussions.
• Assists in leading project teams to achieve milestones and objectives, including multidisciplinary projects/initiatives.
• Interprets internal or external business issues and recommends solutions and best practices.

Qualifications:

Bachelors degree in Data Science, Statistics, Mathematics, or Computer and Information Science, or a related field, or foreign equivalent, or suitable combination of education, experience and training; plus 5 or more years of experience in Data Science. OR Master's degree in Data Science, Statistics, Mathematics, or Computer and Information Science, or a related field, or foreign equivalent; plus 3 years of experience in Engineering related field. Experience with R, Python or SPSS, SQL, Azure and big data analytics tools such as Hadoop and Spark.

Education:

Masters: Chemical Engineering, Masters: Civil Engineering, Masters: Computer and Information Science, Masters: Computer Engineering, Masters: Electrical Engineering, Masters: Industrial Engineering, Masters: Mathematics, Masters: Mechanical Engineering, Masters: Statistics

Work Experience:

Data Science

Certifications:

Certified Business Analysis Professional (CBAP) - International Institute of Business Analysis (IIBA)

Job Opening ID:

00357865 Expert Data Scientist (Open)

“This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.”