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Supervisor Network Control Systems (Developer)

Date: Sep 13, 2021

Location: Fort Worth, TX, US, 76131

Company: BNSF

Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.

 

Job Location: Fort Worth, TX
Salary Range: $82,000 - $91,000

Salary Band: 29

 

 

We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential.  Career development is a lifelong process. That's one of the many exciting and rewarding aspects of working on our railroad. Regardless of where we work or what we do, we always have an opportunity to continue to learn and grow.

 

 

This position is located at our Fort Worth, Texas corporate office and has the potential to be a hybrid position with up to 50% remote work.

 

SAFETY 

At BNSF, Safety is a core value of how we do business. Each and every day, our employees are committed to approach one another about safety, which is key in realizing our vision. Employees are also expected to comply with company and federal safety & health regulations, safety rules & policies, as well as procedures that guide work practices to reduce risk to exposure.  Such work practices include but are not limited to wearing required safety equipment, responding to safety concerns, and taking appropriate actions in the event of an emergency. 

 

 

DUTIES/RESPONSIBILITIES:

 

  • Design, develop, implement, document, and support various internally developed machine learning models to support Positive Train Control (PTC) analytics
  • Use technology systems/applications development experience to analyze requirements, evaluate design alternatives, and develop software solutions that meet business objectives
  • Must have a clear understanding and implementation of different machine learning algorithms such as logistic regression, decision trees, SVM, Naïve Bayes, KNN, neural networks, gradient descent, Random forest, etc.
  • Experience working with structured and unstructured data.
  • SQL experience is a must.
  • Provide insight to building new machine learning models supporting Baloo by identifying correlations and working with the development team to validate new algorithms.
  • Validate existing Baloo analysis algorithms.
  • Assist in identifying key logging changes when new software is deployed.
  • Excellent pattern recognition and predictive modeling skills.
  • Ability to understand business requirements, collaborate with team, provide ideas, and clearly present new findings/ solutions.
  • Strong understanding of basic statistics, linear algebra and calculus.
  • Programming background and exposure to python is required.
  • Able to build analytics solution from scratch. Includes data exploration, extraction, cleaning, transformation, modeling, testing and implementation.
  • Expertise in building machine learning algorithms using at least one of the following languages: Python, R and Scala
  • Directly responsible for all phases of development and testing of designed solutions
  • Generation of accurate timeline estimates, open communication regarding development status, and issues, and ensuring best practices are followed in implementing technical solutions

 

The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for the position. These general categories do not necessarily constitute an exhaustive list of duties of the position.

 

BASIC QUALIFICATIONS:

 

  • Bachelor’s degree from an accredited university in Computer Science, Statistics, Applied Mathematics or related field or related experience.
  • 5+ years experience in data analytics, data mining and statistical analysis.
  • Expert in Python, R, and Scala
  • Able to identify underlying problems and appropriate techniques for solving them
  • Excellent verbal and written communication skills
  • Solid analytical and problem-solving skills
  • Candidate is a team player. Shares knowledge. Able to work in high performing teams and deliver under pressure situations

 

Preferred Qualifications:

 

  • Exposure to any reporting tool. Tableau is preferred.
  • Experience working with natural language processing and text mining.
  • Open to learn new tools and technologies.
  • Able to adapt to fast-paced working environment.
  • Must be a self-starter and work without direction at times
  • Experience with railroad operations
  • Experience leading a team of developers

BENEFITS

BNSF offers competitive benefit programs and services including, but not limited to 

  • Medical, Dental and Vision Coverage
  • 401(k) Plan
  • Railroad Retirement
  • Life Insurance
  • Incentive Compensation Plan (ICP)
  • Tuition Reimbursement Program

 

BACKGROUND INVESTIGATION ELEMENTS

  •     Criminal history 
  •     Last 7 years of driving history
  •     Last 5 years of employment history to include military service
  •     Social Security number
  •     Education

 

MEDICAL REVIEW ELEMENTS:

  •     Medical evaluation
  •     Drug Screen
  •     Other elements as needed

 

DRUG TEST ELEMENTS:

BNSF is committed to a safe and drug free work place and performs pre-employment substance abuse testing. All new hires are required to undergo a hair drug test which detects the presence of illegal drugs for months prior to testing. We appreciate your cooperation in keeping BNSF safe and drug free.

 

BNSF is an Equal Opportunity Employer. BNSF considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

 

Transportation Worker Identification Credential (TWIC): Federal authority requires BNSF employees, whose work requires unescorted access to secure areas of port facilities, to obtain a TWIC. A TWIC is a condition of employment for such positions and requires candidates to those positions to submit to a TSA security assessment (to include, but not limited to, providing: biographic information; identity documents; fingerprints; digital photograph). More information is available at www.tsa.gov/for-industrytwic.


Nearest Major Market: Fort Worth
Nearest Secondary Market: Dallas

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