Sr Data Scientist (Remote - US)

Be part of a team that values safety, diversity, 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 
Anticipated Start Date: 04/16/2025 
Number of Positions: 1  
Salary Range: $165,000-$375,000 

The US base salary range for this full-time position is $165,000-$375,000 plus bonus eligibility and other elements of our total rewards package.  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 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, BNSF offers a comprehensive benefits package.  

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. 

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!  

The bnsf | tech department drives innovation and efficiency by developing and maintaining advanced technological solutions across the network. This team ensures a robust IT infrastructure, supports critical applications, and enhances cybersecurity measures. Their expertise is essential in optimizing operations and enabling BNSF to deliver reliable, cutting-edge transportation services.  

This is a full-time position. Our leaders also foster a culture where work life balance, which requires flexibility for when life happens, is important and respected.  

As a Sr Data Scientist, you will

• Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. 
• 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 NoSQL databases, R, Python or other appropriate languages to enable analysis, model development, and solution deployment.
• Builds, tests, and validates statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development.
• Leads implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. 

Basic Qualifications

• MS degree in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.   
• 6+ years of experience in Building optimization Algorithms.
• Proficiency in programming languages such as Python, R, SQL, Java.
• Experience with data visualization tools.
• Experience with datascience cloud platforms.
• Intellectual curiosity and ability to thrive in a team environment that is constantly changing.
• Demonstrated ability to learn new technical concepts and to adapt to new technologies quickly.
• Ability to communicate in a clear, concise, professional oral or written manner, to be understood by technical and non-technical colleagues.

• Demonstrated understanding of statistical analysis and machine learning techniques.

Preferred Qualifications

• Prior experience with AI/Machine Learning frameworks and tools. 
• Experience in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or other Transportation industries or experience in a High-Tech industry.
• Experience with open-source libraries and frameworks. 
• Experience working in an Agile environment (Scrum, Kanban, SAFe).  

BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.