Senior Data Scientist


Senior 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


  • Bachelor’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 MS Azure services and data visualization tools, such as PowerBI
  • Experience with integration of data from multiple data sources
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Ability to communicate highly complex data and analyses to senior leaders
  • Experience with Healthcare
  • Bachelors Degree


  • Experience with Cloudera/MapR/Hortonworks/Databricks
  • Knowledge of data exploration and visualization tools (Tableau, Qlik, D3, etc)

How to Apply:

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Location: Lafayette, LA
Date Posted: November 10, 2021
Application Deadline: January 10, 2022