Lead Data Scientist - NLP/Predictive Analytics

Prismforce


Date: 1 day ago
City: Kolkata, West Bengal
Contract type: Full time
Responsibilities

  • Identify relevant data sources a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges.
  • Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements

  • Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience.
  • Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis.
  • Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling.
  • Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions.
  • Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges.
  • Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders.
  • Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI

tools.

  • Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in

startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or

business innovations.

Required Skills

  • Machine Learning, Deep Learning, Algorithms
  • Computer Science, Engineering, Operations Research
  • Math Skills, Communication Skills, SAAS Product, IT Services
  • Artificial Intelligence, ERP
  • Product Management, Automation, Analytical Models
  • Predictive Models, NLP

(ref:hirist.tech)
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