Data Scientist (Remote - US)

BNSF Railway

BNSF Railway is a major U.S. railroad operator, transporting freight across the western states and Canadian provinces. They pride themselves on fostering a culture of safety, diversity, and excellence, supporting essential services that fuel communities. The Data Scientist will be part of BNSF's tech team, instrumental in optimizing operations and delivering innovative transportation services.

In this role you can expect to have the responsibilities:

• Work with cross-functional teams to address business challenges with data-driven solutions.
• Utilize data science techniques to analyze extensive datasets for actionable insights.
• Develop and implement machine learning models to predict outcomes and improve processes.
• Collaborate with stakeholders to understand needs and provide insights.
• Create visualizations and reports for effective communication of findings.
• Maintain and update data pipelines for integrity and accuracy.
• Stay updated with industry trends and advancements in data science.
• Use SQL and NoSQL databases, R, Python, or other languages for data extraction and analysis.

This role comes with the following benefits:

• Comprehensive benefits package
• Bonus eligibility

This role requires you to have:

• MS degree in Operations Research, Computer Science, Industrial Engineering, or related fields.
• Understanding of statistical analysis and machine learning techniques.
• Proficient in Python, R, SQL, and Java.
• Experience with data visualization tools.
• Experience with data science cloud platforms.

You would benefit from having:

• Experience with AI/Machine Learning frameworks and tools.
• Background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain or other Transportation industries.
• Experience with open-source libraries and frameworks.
• Experience working in Agile environments (Scrum, Kanban, SAFe).

BNSF Railway provides an inclusive environment where all employees have equal opportunities. They are an Equal Opportunity Employer, considering applicants without regard to diverse backgrounds or veteran status.