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Data Scientist (Remote - US) - Job Opportunity at BNSF Railway

Remote, US
Full-time
Mid-level
Posted: March 15, 2025
Remote
USD 93,750-206,250 per year

Benefits

Comprehensive healthcare package typical of Fortune 500 companies
Performance bonus eligibility indicating strong pay-for-performance culture
Total rewards package competitive with tech industry standards
Flexible work arrangements demonstrating modern work culture
Work-life balance emphasis suggesting family-friendly policies

Key Responsibilities

Lead data-driven solution development for critical railroad operations optimization
Design and implement machine learning models for predictive maintenance and operational efficiency
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions
Develop and maintain data pipelines supporting enterprise-wide analytics
Create visualization dashboards for executive decision support
Drive innovation in transportation logistics through advanced analytics

Requirements

Education

MS degree in Operations Research, Computer Science, Industrial Engineering or a related field

Required Skills

Python R SQL Java Statistical analysis Machine learning techniques Data visualization Data science cloud platforms AI/Machine Learning frameworks Open-source libraries
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Sauge AI Market Intelligence

Industry Trends

Railroad industry is undergoing significant digital transformation, with increased focus on predictive maintenance and operational efficiency through AI/ML applications Growing emphasis on sustainable transportation solutions driving demand for data-driven optimization Integration of IoT and real-time analytics becoming crucial for modern railroad operations

Salary Evaluation

The offered salary range of $93,750-$206,250 is competitive for a mid-level data scientist role, particularly considering the transportation sector. The wide range suggests room for negotiation based on experience and specialized skills.

Role Significance

Likely part of a specialized analytics team of 5-8 professionals, working within larger IT organization of 100+ personnel
Mid to senior-level position with significant autonomy in technical decision-making and strategic input on business solutions

Key Projects

Predictive maintenance systems for railroad equipment Network optimization algorithms for freight routing Real-time operational analytics dashboards Customer demand forecasting models

Success Factors

Deep understanding of transportation logistics and supply chain operations Ability to translate complex technical concepts to business stakeholders Experience with large-scale data processing and real-time analytics Strong collaboration skills for cross-functional team engagement

Market Demand

High demand with steady growth projected. Railroad industry's digital transformation creates sustained need for data science expertise, while remote work option expands candidate pool nationally.

Important Skills

Critical Skills

Machine learning expertise for predictive maintenance applications SQL and Python for large-scale data processing Business acumen for stakeholder collaboration

Beneficial Skills

Cloud platform experience for scalable solutions IoT data processing capabilities Transportation industry knowledge

Unique Aspects

Opportunity to apply cutting-edge data science in traditional industry undergoing digital transformation
Combination of enterprise-scale data challenges with real-world physical operations
Remote work opportunity in traditionally office-based industry

Career Growth

2-3 years in role before advancement opportunity, depending on project impact and leadership development

Potential Next Roles

Lead Data Scientist Analytics Manager Technical Product Manager Chief Data Officer

Company Overview

BNSF Railway

BNSF Railway is one of North America's leading freight transportation companies, operating one of the largest railroad networks in North America

Top-tier Class I railroad with significant market share in western United States
Strong presence across 28 western states and 3 Canadian provinces, indicating significant operational scale
Progressive tech culture within traditional transportation industry, emphasizing innovation while maintaining operational stability
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