Data Scientist –
Job Description:
Combine statistics, NLP, and machine learning techniques to create scalable solutions for business problems
● Extensive ML and Deep Learning (NLP focus) experience
● Hands-on experience with text preprocessing, named entity recognition and entity linking, topic modeling, document classification, and summarization
● Experience with sci-kit-learn and pandas; preferably also PySpark, Tensorflow, Pytorch, MLFlow, and NLP packages like spaCy and NLTK
● Focus on scalability, performance, service robustness, and cost trade-offs.
● A continuous drive to explore, improve, enhance, automate, and optimize systems and tools to best meet evolving business and market needs.
● Attention to detail, coupled with the ability to think abstractly.
● Create data tools for analytics and data scientist team members that assist them in building and optimizing our product.
● Keen to learn new technologies and apply the knowledge in production systems.
● Data Engineer Skills: Python, Pandas, PySpark, ML, NLP, PySpark, NLTK.
● Good to have: Experience working with cloud-based stacks (either AWS, Azure, GCP)