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Lead Data Scientist, AI & Data Transformation

United States
Full Remote Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead the transformation of data assets into a real-time enterprise by developing and deploying advanced machine learning models. Leverage data science skills to analyze complex datasets, identify actionable insights, and drive strategic decision-making. Requires minimum 6 years of experience, proficiency in Python/R/SQL, LLM architecture, and prompt engineering.

Key Highlights
Transform data assets into a real-time enterprise as an AI company.
Lead the development and deployment of advanced machine learning models.
Requires deep understanding of LLM architecture and prompt engineering techniques.

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Key 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.
Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation.
Technical Skills Required
Python SQL Machine Learning

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Benefits & Perks
401(k) and Railroad Retirement program
Comprehensive health care options
Health care spending accounts (HSA) with employer contributions
Life and disability insurance
Family benefits including parental, pediatric and family building support
Discounts on travel, gym memberships, counseling services and wellness support
Annual bonus (Incentive Compensation Program)
Generous leave / time off policies
TWIC card requirement for port facility access

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Nice to Have
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.

Job Description

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.innovating and transforming the future of freight railis the technology division making BNSF the preeminent freight and mobility company in north america.
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Job Overview
Posted Aug 30, 2026
Employment Full-time
Experience Not Applicable
Location United States
Category Data Science
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