BNSF | Tech is looking to transform its data assets into a real-time enterprise by leading the charge into the future as an AI company.
Requirements
- Minimum 5 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.
- Deep understanding and application of statistical analysis and advanced machine learning techniques.
- Knowledge of geospatial analytics, route optimization, and GIS concepts.
- Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
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.
Other
- Remote US
- Travel is up to 20%.
- Employees may work from anywhere within the contiguous 48 states of the United States
- Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
- Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
