Tiger Analytics - Senior Analyst/Data Scientist - NLP

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Come work with us to provide certainty to shape a better tomorrow.

We are a Great Place to Work-Certified- (2022-24) and have been consistently ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. www.tigeranalytics.com

India Locations: Chennai | Hyderabad | Bangalore

About the role :

As a skilled Senior Analyst / Data Scientist specialising in Natural Language Processing (NLP), you will play a pivotal role in shaping the future of our data-driven initiatives. Your responsibilities will encompass:

- A strong foundation in natural language processing techniques, including but not limited to tokenisation, part-of-speech tagging, named entity recognition, sentiment analysis, and language modelling. Crafting sophisticated frameworks tailored for diverse NLP use cases, contributing to developing cutting-edge solutions.

- Building robust, reusable codes and libraries that empower the seamless deployment of NLP models across various applications.

- Experience in Text-based analytics using Deep learning or Language models.

- Collaborating closely with cross-functional project teams to analyse and address real-life business challenges, providing insightful solutions fuelled by NLP innovations.

- Keeping abreast of the latest advancements in NLP by exploring developments from leading research organisations, ensuring our methodologies remain at the forefront of industry trends.

Desired Skills and Experience :

- Bachelor or master's in data science, Computer Science, Engineering, or related fields.

- A solid 2 to 6 years of hands-on experience in the intricate field of Natural Language Processing.

- Proficiency in Python programming, showcasing your coding finesse.

- Expertise in deep learning frameworks, including TensorFlow, Keras, PyTorch, and Theano.

- Familiarity with state-of-the-art language models such as BERT, FastText, GloVe, Elmo, demonstrating your nuanced understanding of linguistic complexities.

- Insight into the software development life cycle, illustrating your ability to integrate NLP solutions into broader development processes seamlessly.

- Good to have competency in at least one major cloud platform (AWS, Azure, GCP).

- Strong problem-solving and analytical skills with exceptional communication.