Data Scientist

Role & responsibilities

• Build, Improve and extend NLP capabilities.
• Select the proper annotated datasets for supervised learning techniques.
• Use effective text representation techniques to develop useful features.
• Identify and utilize the correct algorithms for specific NLP projects.
• Develop NLP projects in accordance with prescribed requirements.
• Train developed NLP models and evaluated their effectiveness.
• Conduct statistical analyses of models, and adjust models where possible.
• Extend machine learning frameworks and libraries for NLP project.

Preferred candidate profile

• 2 - 4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)).
• Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup).
• Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc)
• Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs.
• Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc.
• Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform.
• Strong Logical & Analytical skills with good soft & communication skills.

Certifications

Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable.