Job Title

Mgr / Sr Mgr Ops Measures

Job Description

Job Location: Fort Worth, TX

Anticipated Start Date: 05/05/2025

Number of Positions: 1

Salary Range: $87,700 - $135,900

Apply early as this job may be removed or filled within seven days of posting.

BNSF Railway's Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team optimizes railway infrastructure and operations by analyzing market trends, customer needs, and technological advancements. Their work includes adopting advanced technologies, improving operational efficiency, and exploring sustainable practices.

The Mgr/Sr Mgr Ops Measures plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support BNSF's Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems.

Restrictions

• No telecommuting
• No Agencies Please

Requirements

Responsibilities:

Designing, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.

Data Infrastructure & Pipeline Development:

• Build and maintain robust data pipelines for ingesting, transforming, and storing large datasets.
• Develop backend infrastructure to support machine learning models and AI solutions.

Machine Learning Model Deployment:

• Implement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.
• Collaborate with data scientists to optimize models for performance and scalability.

Basic Qualifications:

• Strong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.
• Advanced analytical skills and the ability to independently conduct complex analyses.
• Excellent interpersonal and communication skills, both verbal and written.
• Ability to manage multiple projects and deadlines simultaneously.
• Proficiency in using data visualization tools such as Tableau or Power BI.
• Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).

PREFERRED QUALIFICATIONS:

• Bachelor’s and/or Master's degree in analytics, computer science, or a related field.
• 3+ years of experience in ML/Optimization
• Demonstrated experience with machine learning life cycle management and operationalization.
• Knowledge of deep learning model building and implementation.
• Experience with cloud platforms (AWS, Azure, GCP) and CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with PySpark and experience working with Databricks.
• Familiarity with BNSF measurement systems and reports (e.g., DPR, SCORE, Corporate Dashboard).

About the Company

At BNSF, you will have access to a comprehensive and competitive benefits package including: Relocation assistance is available. 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. All positions require pre-employment background verification, medical review and pre-employment drug screen. 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

Contact Info

• Contact: Matt Hughes
• E-mail contact: matthew.hughes@bnsf.com
• Web: https://www.linkedin.com/jobs/view/4193009885