Data Scientist in Alpharetta, GA at HUNTER Technical Resources

Date Posted: 7/22/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    At least 6 year(s)
  • Date Posted:
    7/22/2019
  • Job ID:
    4600933

Job Description


Data Scientist

Direct Hire

Alpharetta, GA

 

Responsibilities
 
  • Data exploration and discover new uses for existing data sources
  • Partner with management and business units on innovative ways to successfully utilize data and related AI/ML/NLP tools to advance business objectives and develop efficiencies
  • Provide oversight to application engineering team so that they can interpret and monitor usage of ML models and continuously measure & tune its accuracy
  • Work with product / business team to identify possible avenues to apply AI/ML
  • Develop hypothesis and evaluate the performance of various NLP and AI/ML algorithms to address the business opportunity
  • Perform analyses using statistical packages / languages such as Python or Spark
  • Provide guidance to application engineering team so that they can built, deploy and support AI/ML models in production
  • Develop subject matter expertise on source systems data and metadata
  • Gain and master a comprehensive understanding of operations, processes, and business objectives and utilize that knowledge for data analysis and business insight

 

Qualifications
 
  • Master’ s degree or higher in a quantitative or relevant field (Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science)
  • 6 or more years of work experience in practicing ML and data science in business, with more than 10 years of overall IT experience
  • Experience in leading large-scale data science projects and delivering from end to end
  • Strong proficiency in Python & scripting in general.
  • Strong experience in data management and analysis with relational and NoSQL database
  • Excellent problem solving and critical thinking capabilities.
  • Experience with NLP technology
  • Experience with Python (sklearn et al), Spark, Scala, or Java
  • Strong foundational quantitative knowledge and skills Strong experience in SQL and database management