Intern, Data Science

KB Signaling delivers unparalleled end-to-end wayside and onboard conventional signaling platforms and solutions, supporting our Control, Command, and Signaling (CCS) global business unit. A trailblazer, we are driven to provide the best solutions for improved safety, performance, and lower overall operating cost for today’s transit and freight railway systems and operators in North America and beyond. Our team is fueled by innovation and grounded in solid values, like giving back to the communities where we do business and embracing sustainability to help protect our planet. KB Signaling is part of a global, high-tech company that will challenge you and help you grow. Discover your potential.

KB Signaling Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Purpose of the Job

As a Data Scientist Intern, you will help to solve real-world business problems as a member of the Data Science team including data identification and design to analytic approach and delivery.

Main Responsibilities

Key accountabilities:

• Use advanced statistics, data mining, machine learning, and deep learning techniques to deliver data-driven insights for the railroad industry
• Transform raw data into meaningful features for model building
• Design and implementing machine learning algorithms, including regression, classification and clustering to build predictive models
• Assess the accuracy and performance of models using appropriate metrics
• Work with stakeholders to understand challenges and create solutions, and identify opportunities
• Produce a range of data-driven visualizations (dashboards, reports, presentations) and provide insights relative to created data science products
• Process, cleanse, and verify the integrity of data used for analysis
• Work with software developers and architects to help operationalize models into production
• In conjunction with data owners and department managers, develop data models and protocols for solutions that provide advanced, meaningful, and actionable business insights
• Communicate project progress, requirements and risks to the program managers, engineering team, stakeholders and engineering leaders
  
  

Competencies & Skills:

• Technical expertise with proven predictive modeling and machine learning skills
• Knowledge of advanced statistical learning techniques and experience with applications
• Strong understanding of statistical concepts and hypothesis testing
• Experience working with complex data using advanced analytics techniques and software technologies to deliver and interpret valuable insights
• Experience using Python and/or R
• Experience using standard libraries, such as scikit-learn, TensorFlow, Spark ML
• Strong SQL coding skills and the ability to manipulate data and draw insights from large datasets
• Solid analytical approach to problem solving
• Excellent written and verbal communication skills
• Clear and concise presentation of complex data insights to non-technical audiences
  
  

Education

Mandatory:

• Pursuing a Bachelor’s or Master’s degree in a highly quantitative field such as Applied Mathematics, Statistics, Computer Science, Bioinformatics, Operations Research, or Econometrics.
  
  

EOE-Disability/Veteran