Data Scientist

Are you someone who never rests on their laurels, always strives to go above and beyond, and is committed to keeping your PROMISES? Do you appreciate a company culture that is open, fosters work-life balance, and a dynamic team environment? Then Old Dominion is the home for you. We take pride in being the best in the industry, and from our humble beginnings we know that our People and our Family Spirit are the main ingredient in our secret sauce to success. At Old Dominion we are looking for individuals to join the OD Family that will provide innovative solutions and exceed expectations to keep OD the premier transportation solutions provider.

The position requires the use of Juypter Notebook to automate many manual tasks that the department currently completes. As part of this role we will look at current suites of analytics and work towards improving quality while removing false positives inside of actionable data. This position is project based and typically works on 1-3 assigned projects per week. Those projects with longer horizons and integrations will require excellent time management and project prioritization skills.

Primary Responsibilities

• Document and understand business use cases, determine, and analyze relevant data to draw fact-based conclusions and recommend actions
• Collaborate with data modelers, analysts, and developers to ensure quality analytic products
• Write and present findings to Operations Systems, technology, and business leadership
• Learn, analyze, and reconcile information builder's products
• Work with UI/UX mock-ups of reports or dashboards
• High quality professional day-to-day execution of engagements and special projects

Job Qualifications

Education:

• Bachelor's degree in Data Science, Accounting, Finance, Business Analytics, or Information Systems
• Strong proficiency in Microsoft Word, Excel, PowerPoint, and SQL with a general understanding of data analysis techniques
• Master's degree or above in Data Science, Accounting, Finance, Business Analytics, and/or Information Systems from an accredited college/university preferred

Experience:

• Working knowledge of R, R Stat, Python (Juypter Notebook), or similar statistical analytic tool(s)
• Relevant experience preferred
• Ability to participate within a multi-disciplinary team as well as acting autonomously as appropriate
• Demonstrated proficiency with project completion
• Strong interpersonal and time management skills
• Excellent verbal and written communication skills
• Strong analytical and quantitative abilities with excellent written and verbal communications

Working Days:

Shift and hours to be determined.

Working Shift:

Shift and hours to be determined.

Work Days and Shift are estimates and are subject to change, at any given time, based on job scheduling and/or business levels. Any information listed regarding Days and Shifts shall be considered a guideline of expectations for the specific position at the time of posting.

Join the OD Family Today!

As a Full Time member of our Family, you and your family are eligible to receive:

• Great Health Benefits including a Zero premium medical plan for employee only coverage
• Vision & Dental
• Short Term & Long Term Disability
• Flex Spending Accounts
• 401k Retirement plan with company match and additional company annual discretionary match opportunity
• Life Insurance
• Wellness Program
• Tuition Reimbursement for Drivers and Technicians
• Training and growth opportunities to build a career
• We prioritize our OD family of employees
• Ability to advance through our promote from within philosophy
• National Career Opportunities Available at our 260+ service centers

Old Dominion Freight Line, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, and/or gender expression, sexual orientation, age, disability, pregnancy, genetic information, military status, Vietnam Era and/or veteran status, or any other characteristic protected by applicable law(s).

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