DATA SCIENTIST I

DATA SCIENTIST I
CHATTANOOGA, TN
8:00 am - 5:00 pm
Position open to remote:  Yes
Grade: ES15
Compensation Range: 80K - 110K

Who We Are:
Relentlessly Delivering Big Ideas. U.S. Xpress is one of the nation’s largest asset-based trucking companies. But the most valuable asset we offer isn’t tractors, trailers, or even our exclusive, cutting-edge technology. It’s the collective brainpower of thousands of visionaries and problem-solvers. Together, we are revolutionizing the transportation industry by providing innovative, custom solutions. And, here, we believe in the sanctity of a promise—both to our customers, and our people. When we focus our varied talents on reshaping the future of transportation, that’s what we call the POWER OF U.S.

Why U.S. Xpress?
Right Role. Right Tools. Right People. We invest in our talent starting on day one. You will be provided with personal and professional development opportunities that complement your interests and encourage you to build a career you’re passionate about. Whether it is employee stock options, profit-sharing, 401K, professional development, or our competitive pay, we help prepare you for the future. Be part of an organization that values out-of-the-box thinking and rewards employees for going above and beyond. Curious about the other benefits of working with us? Check out other perks below!

• Medical, Dental, and Vision
• Basic/Supplemental Life
• Accidental Death/Dismemberment
• Health Savings Accounts
• Flexible Savings Accounts
• Company Paid Holidays
• Paid Time Off
• 401k with Employer Matching Contribution
• Employee Stock Purchase Plan
• Paid Parental Leave
• Short Term Incentive Program
• Employee Assistance Program
• Pet Insurance

What You’ll Do:

As a Data Scientist I, you will be part of a team responsible for owning, developing & maintaining our Enterprise Data Science Applications as well as helping to solve all our complex problems involving simulations, modeling and statistics using the latest LLM, GenAI and ML/Statistics libraries and tools available.  You will also work closely with Product Owners or in some cases as a Product Owner for these projects that will require you to engage, train and work with end users to help curate the problem and reach a solution to the problem that helps drive value for the organization.  This role will closely partner with respective Data Engineering & BI Developer teams to help automate, refine and take our applications to the next level and help build the future at USX.

• Collaborate with the data team to collect, clean, and preprocess data for analysis.
• Assist in developing and implementing machine learning models under supervision.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Support the creation of data visualizations and reports for internal stakeholders.
• Learn and apply statistical methods to analyze and interpret data.
• Communicates effectively across the team regarding their individual work
• Engages in a team environment and completes well-defined tasks to support team goals
• Ability to multi-task and analyze information to determine appropriate response.
• Contributes routinely to documentation, Backlog refinement, and user stories
• Operate and develop in an Agile team Environment (Including backlog refinement & user story creation & ownership)
• Develop expertise and understanding of core business functions of assigned domain
• Ability to explain products to both technical and non-technical audiences.
• Ensures opened tickets are resolved within a timely fashion
• Strong collaborative mindset, good judgment with great interpersonal skills required to help solve complex business problems

What We’re Looking For:

Education

• Bachelor's degree (B. S.) in Computer Science, Information Systems, Statistics or related discipline from a four-year college or university.
• Equivalent years of experience are defined as one year of professional experience for each year of college requested.

Experience

• Internship to 1 year of experience in a Data Science Role
• Basic understanding of ML Concepts, Statistics & Generative AI tuning.
• Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
• Ability to work in a fast-paced, agile and dynamic environment with both virtual and face-to-face interactions.
• Experience contributing to a Data Dictionary, Canonical Data Model or Code/Product Documentation
• Supply Chain or Logistics Knowledge (Transportation a plus)

Qualifications

• Proficiency in programming languages like Python or R.
• Familiarity with data visualization tools.
• Strong analytical and problem-solving skills.
• Develop robust, scalable models & solutions at an enterprise grade.
• Solid skills in developing, training and deployment of complex models.
• Some Experience with SQL
• Experience with Data Prep & Orchestration tools for EDA & Data Science Modeling (Data Robot, AWS Sagemaker, Azure ML, etc.)
• Experience with Git and/or bitbucket.
• Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
• Ability to work in a fast-paced, agile and dynamic environment with both virtual and face-to-face interactions.
• Supply Chain or Logistics Knowledge (Transportation a plus)
• Solid in MS Office Products
• Experience contributing to a Data Dictionary, Canonical Data Model or Code/Product Documentation

Work Environment / Physical Requirements – Normal office settings.

This job description indicates the general nature and level of work expected for this position. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Employees performing this job may be asked to perform other duties as required and the responsibilities of the position may change. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.

U.S. Xpress is an Equal Opportunity Employer committed to creating and maintaining a diverse workforce.

This role will remain open until it has been filled.

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