Key responsibilities:

1. Develop and implement NLP on structured or unstructured data sources
2. Use web scraping techniques to acquire relevant data from various sources
3. Use advanced machine learning methods to develop automated classification techniques
4. Create recommendation models that involve clustering user data
5. Create prioritization models to prioritize tasks and workflow
6. Collaborate with stakeholders on data architecture
7. Explore new opportunities in order to improve existing algorithms
8. Document processes and systems while keeping the team up-to-date on findings
9. Provide technical leadership for our team of Data Scientists by demonstrating coding standards, reviewing code, and providing guidance for solving problems

Who can apply:

1. Bachelor's degree in mathematics or computer science and at least 1 year of experience in similar roles
2. Expertise in Python programming and related technologies such as pandas, Numpy, MLlib, TensorFlow, etc.
3. In-depth knowledge of NLP techniques such as sentiment analysis, topic modeling, etc.
4. Proficiency in building artificial neural networks & applying deep learning techniques

2