Quant/Stata

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Quant/Stata

Houston, Texas

Employment Type: Full Time

To apply for this job, please email us your resume at jobs@cazton.com


Job Description / Requirements

To design and develop machine learning capabilities and tools for complex, volumetric datasets.

Responsibilities:

  • Selecting and engineering features for predictive models
  • Creating optimized predictive models using machine learning algorithms
  • 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
  • Performing exploratory data analysis (EDA)
  • Doing ad-hoc analysis and presenting results in a clear manner

Skills and Qualifications:

  • Masters or PhD in Math/Stats/CS/Physics or a comparable quantitative discipline
  • Excellent understanding of machine learning techniques
  • Strong understanding of machine learning algorithms, such as those in scikit-learn and MLlib
  • Experience in deep learning frameworks (preferably TensorFlow)
  • Solid experience in Python and PySpark
  • Experience with Anaconda tools such as NumPy, Pandas and Matplotlib
  • Experience with Hadoop and Spark
  • Experience in Stata
  • Experience in R or SAS is a plus
  • Great communication skills
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase is desired
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
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