Data Scientist

Seneca Resources

Our client is looking for (Data Scientist) for a position located in (Richmond, VA or Arlington, VA). They offer a comprehensive benefits package including competitive salary, medical and dental coverage, vacation, life insurance, short and long-term disability insurance; flexible spending plan, 401(k)


  • Construction of statistical models via machine learning, deep learning and traditional techniques (e.g. logistic regression)
  • Evaluation of new data sources
  • Transformation of independent variables
  • Evaluation of alternative modeling techniques and constructs
  • Experimentation with different dependent variables and selection of dependent variables for rollout
  • Presentation to investors on data science capability
  • Monitoring of models for stability
  • Collaboration with IT to enhance production systems
  • Presentations to senior management and board on data science results and plans
  • Continuing research on state of industry for both machine learning and lending modeling


  • Degree in quantitative field (preferably statistics or data science)
  • 3-5+ years’ experience in Data Science
  • Fluency in Python, SAS, or R (Python preferred)

About Seneca Resources:

Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry.  Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, & Dallas that service clients throughout the United States.  The key to our success lies within our strong corporate culture which drives our business.  We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement.  In turn, we look for only the best and brightest to join our team.


We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.


If you’re interested in this role, please email DeAnna Walker at

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