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Machine Learning Data Scientist at Itemize (New York, NY)


Itemize is a fintech business automation company that organizes and routes B2B payments data between companies and their systems. The Itemize Data Hub leverages automation technologies, such as Artificial Intelligence, Machine Learning, Computer Vision, and APIs to acquire, enhance, reconcile, and route data for business payments and financial workflows. Recognized by Gartner as a top provider in the field, Itemize drives processing transformation for a range of leading clients in financial services, including credit cards, tax preparation, accounting software, enterprise resource planning, and expense management. The Itemize Data Hub supports users in over 30 countries and numerous languages.


The Machine Learning Data Scientist will join a team of engineers innovating new techniques for applying Artificial Intelligence, Machine Learning, and data analytics techniques to transform unstructured images and files into financial data sets

The Machine Learning Data Scientist’s responsibilities will include:

  • Develop components, services, and modules for document classification and information extraction 
  • Identify and develop new modeling techniques and/or technologies to complement existing ML processes and improve extraction rates and confidence
  • Measure, improve, and validate confidence scores through rigorous and continuous testing
  • Improve verification and validation functionality
  • Design and implement automated testing and feedback to improve model development and information extraction with high confidence
  • Widen scope of portfolio capability in document type and in additional foreign markets 
  • Identify and acquire training sets for classification and extraction models
  • Maintain documentation on components, processes, and test plans


  • Bachelor’s Degree in Computer Science or Engineering
  • 3+ years software development experience in a professional work environment
  • Experience in one or more ML toolkits or frameworks 
  • Demonstrable knowledge and understanding of Deep Learning concepts
  • Experience with unit testing, continuous integration, and test-driven development
  • Experience in working with “big” data and utilizing machine learning software
  • Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability
  • Experience in applying standard implementations of machine learning algorithms effectively by choosing a suitable model such as decision tree, nearest neighbor, neural net, or an ensemble of multiple models
  • Understanding of how components and processes work together and communicate with each other using library calls, REST APIs queueing/messaging systems and database queries
  • Understanding of system design to avoid bottlenecks and let your algorithms scale well with increasing volumes of data
  • Self-driven and self-guided in a dynamic environment


  • Graduate (Master’s or Ph.D) Degree (or in progress) Preferred
  • Experience with OpenCV or equivalent for image preprocessing
  • Real-world Deep Learning experience a plus
  • Experience working with OCR software engines such as Tesseract
  • Familiarity with coding best practices, OOD/OOP, modular design, SOA, and systems architecture

Itemize is an Equal Opportunity Employer. Itemize does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by applicable law. All employment is decided on the basis of qualifications, merit, and business need.