• 5+ years of professional experience and business analytics working along-side ML Engineers and Developers to build applications
• Hands-on experience with “big data” platforms including Hadoop (preferably Azure or AWS) and Spark as well as experience with traditional RDBMS (e.g. Teradata, Oracle)
• Experience with frameworks for either Machine Learning or NLP (Scikit-Learn, SpaCy, Pytorch, Spark NLP)
• Proficiency in the following programming languages: PySpark, Python, shell scripting, SQL (preferably Teradata and PL/SQL syntax) and Hive, Pig, Java, or Scala
• Ability to design and build a framework to optimize the output of multiple ML models
• Knowledge of tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
• Must be able to translate analytical problems into structured programs (in PySpark or Scala)
• Strong coursework/experience in programming and working with complex datasets is required
• Exceptional critical thinking skills required
• Previous retail / healthcare experience and domain knowledge
• Experience working via an agile, sprint-based working style
• Proven ability to successfully balance near-term results (e.g., ability to design and execute on a ‘MVP’ model), with long-term goals
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