Lead Data Scientist - NLP/Predictive Analytics

Job Description :

Responsibilities :

- 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 :

- 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 :

- Computer Science, Engineering, Operations Research

- Math Skills, Communication Skills, SAAS Product, IT Services

- Artificial Intelligence, ERP

- Product Management, Automation, Analytical Models

- Predictive Models, NLP