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Data Scientist - Hybrid:

Data Scientist – Hybrid:

Our direct client, a fast-growing fintech firm, is seeking to hire an outstanding Data Scientist to join our Data and Analytics team.  This role will drive engineering of firm wide data science platform. Your typical day is designing solutions and coding new features for users. The ideal candidate will be working across Product Management, Data & Analytics, and Technology teams. 


  • Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency. 
  • Build and leverage new and existing tools for Natural Language Processing (NLP), Optical Character Recognition (OCR), and intelligent document processing tasks. 
  • Build and leverage models and data for recommendation systems and engines, including for sales, marketing, and business efficiency tasks. 
  • Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures. 
  • Research, scope, train, deploy, and support machine learning models through a full development lifecycle. 


  • 4-8 years of experience as a researcher or developer in data science or related fields 
  • Masters in STEM or a technical field 
  • Experience with the full life cycle of AI/ML/DS tools: development, implementation, and maintenance 
  • Strong experience programming in common data science languages including Python, R, and/or Matlab 
  • Strong experience with machine learning frameworks and tools such as Tensorflow, Tesseract, PyTorch, and/or Keras 
  • Research experience in Al/ML
  • Experience with web development and database integration principles and practices, including SQL and NoSQL databases 
  • Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation 
  • Experience with cloud computing platforms including AWS, Azure, and/or GCP  
  • A portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
  • Publications, conference talks, and/or patents in AI/ML/DS or related fields 
  • Experience working in a Finance or Financial Technology job with Alternative Investments experience highly preferred 
  • Proven Data Science experience  
  • Interest in working on a highly technical team 
  • Excellent verbal and written communication skills 

Job ID: 5164

  • Accepted file types: docx, doc, pdf, rtf, wps, txt, html.

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