Sr. Data Scientist

Responsibilities

• Work with stakeholders throughout the company and industry to identify opportunities for leveraging industry data to drive business solutions
• Extend company’s data with third party sources of information when needed
• Mine and analyze data from existing company databases as well as customer databases to drive optimization and improvement of product development, marketing techniques, and business strategies using state-of-the-art methods
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Develop machine and deep learning-based algorithms that eliminate or minimize manual data processing or reporting
• Develop various testing frameworks and test model quality
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements

Physical Requirements

• Ability to lift up to 25 lbs. with or without reasonable accommodation
• Ability to travel up to 30% of the time to customer offices, railroad track testing sites, and on TrackSTAR® testing vehicles
• Ability to walk on rough ground/railroad track, climb vehicle ladders, inclines, and work on vehicle systems in the field or shop

Environmental Conditions

• Ability to handle typical weather extremes when working in the field
• Willingness to wear PPE (hard hat, safety glasses, hearing protection, steel-toed boots) as required
• General office/home environment

Qualifications

• Master’s in Statistics, Mathematics, Computer Science, or another quantitative field preferred; STEM graduates considered depending on experience
• 10+ years of experience manipulating data sets and building statistical models
• Railroad industry experience is a plus
• Familiarity with the following software/tools:
  • Coding knowledge and experience with multiple languages, primarily Python
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SQL, SAS, etc.
  • Experience using web services: Redshift, S3, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Strong problem-solving skills with an emphasis on business solutions for our customer base
• Experience working with and creating data architectures
• Ability to communicate technical verbiage to a non-technical audience
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques
• Maintain a valid driver license and abide by our Corporate Fleet Policy
• Ability to successfully complete all pre-employment testing required by Holland L.P.

Wage Type: Salaried Exempt