Data Scientist


Data Scientist


  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods – deep learning, learning to rank, anomaly detection
  • Extending existing data with third party and open sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Creating object recognition systems from images, video and other media feeds


  • Due to the nature of the government contract requirements and/or clearance requirements, US citizenship is required. National Agency Check (NAC) required for employment.
  • Master's degree or above preferred in Computer Science, Systems Engineering, Applied Mathematics/Statistics, Operations Research, or other physical science/engineering fields
  • 5+ years of overall experience in machine learning and data mining techniques
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, natural language processing (NLP) etc.
  • Excellent understanding of deep learning techniques – neural networks, Boltzmann machines, auto-encoders, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools, such as D3.js, R Shiny, GGplot, etc.
  • Experience with integration of data from multiple data sources
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Ability to lead, coordinate, and direct a team of data scientists effectively
  • Ability to communicate highly complex data and analyses to senior leaders

Desired qualifications

  • Experience with cloud providers – Amazon AWS, Microsoft Azure
  • Experience with Cloudera/MapR/Hortonworks/Databricks
  • Knowledge of data exploration and visualization tools (Tableau, Qlik, D3, etc)


  • Data Analysis
  • Data Architecture
  • Storage

How to Apply:

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Location: Lafayette, LA
Date Posted: December 15, 2021
Application Deadline: January 19, 2022