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Herzog companies was founded in 1969 by William E. Herzog as a heavy/highway construction contractor in the Midwest. Herzog now specializes in Railroad Construction, Transit Operation and Maintenance Services, Civil Construction and Railroad Services nationwide. Our team consists of people who are innovators at heart, continuously exploring new ways to improve our products, services, and, ultimately, the industry. By always challenging ourselves - and each other - to push for more, we keep Herzog at the forefront of the rail industry.


Herzog Technologies Inc. is seeking a Data Scientist in Cedar Rapids, IA.  HTI generates and maintains large data sets of Geospatial, GIS and other data to be used within our products.  The ideal candidate is one who can analyze the overall data process and goals and be able to leverage workflows, algorithms, and modeling techniques to create and maintain a rich and efficient data set for use in our product lines.  In addition, this person would need to be able to effectively communicate these artifacts to teams to support process and software product designs and modifications.


Duties and Responsibilities:

*This is a non-exhaustive overview of the job duties for this position.

  • Contribute to data collection, analysis, editing and publishing strategies and processes.
  • Utilize existing algorithms needed to model and transform data to be used in current processes and software.
  • Design and recommend best practices for handling large data sets.
  • Perform trend and pattern analysis on process data (sometimes disparate) to enhance the efficiency of the data processing workflow.
  • Determine how to handle missing data and gaps in processes and software.
  • Develop machine learning models to automate GIS tasks.
  • Mentor team members in data analysis procedures.
  • Regular and predictable attendance and punctuality are a requirement for this position.
  • Other duties as assigned.



  • Bachelors, Graduate or Post-Graduate Degree in Data Science or Data Analytics, or relevant field preferred
  • 5 years’ real-world experience in the Data Science/Data Analytics field
  • Experience with SQL/NoSQL Databases is required
  • Experience with one or more of the following languages: MATLAB, R, Python, Java, C/C++
  • Experience with Data Visualization and Reporting, Power Bi a plus
  • Expert Technical abilities in: Math, Statistics, Machine Learning tools


Pre-Employment Requirements:

  • Subject to pre-employment background check and motor vehicle report review.
  • Maintain valid driver’s license and endorsements as required per position.
  • Subject to pre-employment physical, medical evaluation, and drug screen due to the safety sensitive nature of this position.
  • Successfully complete and maintain any required safety certification and testing on an annual basis.


Physical Requirements:

The physical demands described below must be met by an employee to successfully perform the essential job functions of this role. This position will be physically demanding at times. This is a non-exhaustive overview of the physical requirements of this job.

  • Work primarily in an office environment.
  • Frequently sits for extended periods of time.
  • Frequently use a computer keyboard and office related equipment.
  • Requires occasional standing, walking, lifting, stooping or bending.



  • Herzog is nationally recognized for its excellent corporate safety record which results from all employees at all levels, in all positions adhering to established policies and procedures. Reporting all safety violations to your immediate supervisor is a prerequisite for continued employment. Safety diligence by all results in a safe work environment for all.



  • Herzog offers a robust benefits package including medical and dental coverage. The plans are specific to projects and locations.


If you are interested in applying for this position click the Apply button below.


It is the policy of Herzog Technologies, Inc. to provide equal opportunity in employment for all qualified individuals regardless of race, color, religion, ethnicity, national origin, ancestry, disability, medical condition, age, citizenship, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, genetic information, military status, veteran status, and any other characteristic protected by law.