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Data Scientist I​/II; Remote

Remote / Online - Candidates ideally in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: BNSF Railway
Remote/Work from Home position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Analyst, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 93750 - 175000 USD Yearly USD 93750.00 175000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist I/II (Remote - US)

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.

BNSF | Tech:
Innovating and transforming the future of freight rail. BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America.

If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team. Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.

Come make a difference with us.

Job Details

Job Location:

Remote US

Anticipated

Start Date:

08/03/2026

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

Level 3: $93,750 - $125,000
Level 4: $123,750 - $175,000

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.

Key Responsibilities
  • 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.
Basic Qualifications
  • 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.
Preferred Qualifications
  • 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, airline, logistics, warehousing, supply chain, or other transportation industries.
  • Experience with geospatial Python libraries.
  • Experience with open‑source libraries and frameworks.
  • Experience working in an Agile environment (Scrum, Kanban, SAFe).
Benefits
  • An industry‑leading 401(k) and renowned Railroad Retirement program.
  • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision,…
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