Sr/Staff Data Scientist (Remote - US)

BNSF Railway

5d • $165,000 - $300,000 • Remote

About The Position

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. are you ready to drive change? 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! data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. 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.

Requirements

• Minimum 6 years of experience with building optimization algorithms or relevant experience.
• Advanced proficiency in programming languages such as Python, R, SQL, and Java.
• Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
• In-depth experience with data science cloud platforms and their integration into business solutions.
• Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
• Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
• Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
• Deep understanding and application of statistical analysis and advanced machine learning techniques.
• Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
• Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
• Experience with Vector Databases and embeddings.
• Experience with Model Fine-tuning.
• Experience with GPU optimization.

Nice To Haves

• Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
• Knowledge of geospatial analytics, route optimization, and GIS concepts.
• Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
• Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.
• Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.
• Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.

Responsibilities

• 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.
• Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows.
• Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making.
• Design and present compelling visualizations and reports to effectively communicate analytical findings.
• Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision.
• Keep abreast of emerging trends and breakthroughs in data science and machine learning fields.
• Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development.
• Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring.

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, telemedicine, mental health, cancer support, and high-quality care network options.
• Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
• Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
• Access to discounts on travel, gym memberships, counseling services and wellness support.
• Annual bonus (Incentive Compensation Program)
• Generous leave / time off policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees