The Senior Data Scientist is responsible for end-to-end data science solutions for our data products; Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning; Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models; Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people; Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline
Requirements:
Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in analytics related field; You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop; Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU; Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development
Text:
Senior, Data Scientist - Customer Digital Identity The Senior Data Scientist is responsible for end-to-end data science solutions for our data products; Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning; Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models; Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people; Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in analytics related field; You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop; Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU; Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development
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