Data Scientist I​/II; Remote

Overview

be part of a team that values safety, inclusion, and excellence. we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.

Job Location:

Remote US

Anticipated

Start Date:

08/03/2026

Salary Range: $93,750-$175,000

L3: $93,750 - $125,000
L4: $123,750 - $175,000

The range represents the amount BNSF Tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.

This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States.

Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF.

This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H‑1B transfers, TN non‑immigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.

Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.

Production and strategic data & AI initiatives.

• Work with cross‑functional teams to identify business problems and develop data‑driven solutions.
• Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data‑driven solutions to business problems.
• Develop and implement machine learning models to predict outcomes and improve processes.
• Collaborate with stakeholders to understand their needs and provide actionable insights.
• Create visualizations and reports to communicate findings effectively.
• Maintain and update data pipelines to ensure data integrity and accuracy.
• Stay current with industry trends and advancements in data science and machine learning.
• Identify, extract, aggregate, and synthesize data using SQL and No
  
  SQL databases, R, Python or other appropriate languages to enable analysis, model development, and solution deployment.
• Drive moderate to complex data science, machine learning, traditional artificial intelligence, generative artificial intelligence or optimization projects, working with stakeholders to understand contextual problems quickly and define, analyze, and deliver solutions based on business objectives.
• Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on‑call rotation.

The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position’s duties.

At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment.

• Minimum of 2 years experience building data science solutions or relevant experience.
• Demonstrated understanding of statistical analysis and machine learning techniques.
• Experience with data visualization tools.
• Proficiency in programming languages such as Python, R, SQL, and familiarity with Java or Scala.
• Experience with data science cloud platforms.

• Bachelor’s degree or higher in Operations Research, Computer Science, Industrial Engineering, or a related field.
• Previous hands‑on experience with AI/Machine Learning frameworks and tools like Tensor Flow, PyTorch, or scikit‑learn.
• Experience in Rail, Shipping,…