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NLP , Data Scientist

Mango Sciences
Posted on

Experience
4 - 6 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified

Job Description

To deliver on our mission of improving healthcare access and quality, we are looking for an experienced NLP Data Scientist to join our small, fast-growing team.

The NLP Data Scientist serves on a project team that leverages our industry-leading healthcare data to deliver clinical insights in engagements with healthcare providers and Life Sciences Companies. In this role, he/she will be part of an agile data science team, with the excitement, pace, and development opportunities that come with working in an early-stage company.

Position Responsibilities:

  • You will be part of a high-impact team building the next generation of intelligence and language understanding.
  • Utilise the latest techniques in AI, ML (including Deep Learning approaches), and NLU.
  • Build topic analysis, text classification, and named entity recognition methods for unstructured and semi-structured data.
  • Develop efficient self-learning NLP applications.
  • Contribute to problem solving discussions by clearly defining the issues and offering solutions.
  • Provide timely updates to the management and leadership teams.

Position Requirements :

  • Bachelors or Master s degree in Computer Science, Statistics, Information Technology, or a related field of study.
  • 4-6 years of relevant work experience, with evidence of:
  • Extensive experience in using NLP-related techniques/algorithms, e.g., deep learning, RNN, attention models, transformers, BERT, GPT, word2vec/doc2vec.
  • In-depth knowledge of various Natural Language Processing/Understanding (NLP/NLU) domains, e.g., entity extraction, topic modelling, parsing, question answering, word representation, relation extraction, natural language inference, and semantic parsing.
  • Strong scripting and programming skills in Python, SQL, or similar languages.
  • Healthcare industry knowledge (medical and pharmaceutical).
  • Strong background in Machine Learning, e.g., generative model, discriminative model, neural network, regression, classification, and clustering.
  • Experience in building models from scratch and working with structured and unstructured data.
  • Excellent communication (written and verbal), interpersonal skills, and the ability to foster collective partnerships.

Other Skills:

  • Dedication to teamwork with a demonstrated ability to collaborate across functions.
  • Desire to build strong NLP-based applications.
  • Track record of innovation with the vision and entrepreneurial spirit to take on a key role in a small, fast-growing company.

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