Reorg Research, Inc.
Reorg Research provides breaking news and market-moving intelligence along with cutting-edge technology and data for hedge funds, investment banks and law firms. We are changing the way that professionals access opaque or complex information, and we are always looking for bright minds to join us on that mission.
As a Data Scientist, you will be working on some of the complex problems at the intersection of two dynamic industries — finance and technology. You will work closely with the Senior Data Scientist and collaborate with talented product developers and software developers within the organization to contribute to the advanced data analytics and product development efforts of the Reorg Research group. Experience great hands-on learning and apply data science principles to solve practical, real-world problems.
This position will help build a foundation of state-of-the art technical and scientific capabilities to enhance our cutting-edge financial intelligence platform. Be part of proposing, building and executing various data science models to leverage the existing data to improve current business and create new business avenues using unstructured data.
Solve analytical data-related problems and conceptualize the data models
Build robust NLP and ML models
Maintain and continuously improve the accuracy of the existing models
Communicate with different teams within the organization and support their needs
Implement innovative methods and tools to run the models faster and more efficiently
Systematically document the functionality of the models and maintain the code on GitHub
Professional experience as a Data Scientist with NLP experience
Experience with unstructured text data and performing tasks such as text mining, sentiment analysis, language modeling, classification and information retrieval tasks
Proficient in R and Python
Familiar with SQL and MongoDB
Master’s degree (PhD preferred) in a quantitative field
Eligible to work in the United States, sponsorship not provided
To apply for this job please visit the following URL: https://jobs.lever.co/reorgresearch/8baf5671-4441-40ab-91f7-2dc467ddd088 →