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Data Scientist

St Louis, Missouri | IT
Job ID: 102856
Listed on 1/12/2021

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.

Data Scientist


  • Collaborate with data scientists/engineers/stewards on data extraction and data cleaning.
  • Develop powerful analytics insights from geographical, manufacturing, industrial data using advanced machine learning techniques.
  • Design, implement and optimize OR/simulation/machine learning models based on structured and unstructured data.
  • Work closely with the software engineering team in the delivery of analytic software
  • Work in a highly interactive, team-oriented environment.

Desired Skills/Experience:

  • PhD in Mathematics, Economics, Statistics, Operations Research or a related field with statistics courses/publications/proven expertise (Electrical/Mechanical/Environmental Engineering, Spatial Statistics, Geoinformatics, Environmental Modeling, Engineering, Computer Science, or Computational Biology)
  • Or Master's degree plus 3 years of industry experience.
  • Proficient in machine learning algorithms and concepts;
  • Ability to work in a highly interactive, team-oriented environment.
  • Comfort in communicating technical content in an easy to understand way
  • Proficiency of at least one of Python or R is a must-have and working knowledge of the other
  • Working knowledge of the following programming languages: SQL, Java, Javascript, C/C++, Scala is a plus
  • Proficiency in Spatial and/or Temporal Statistical Modeling
  • Proficiency in Machine learning algorithms and concepts (Ensembles, Deep Learning, SVM, etc.)
  • Experience working with agricultural/biological scientific data is highly desired
  • Drive for translating business problems into research initiatives that deliver business value
  • Creativity in defining challenging exploratory projects