Data Scientist
4 weeks ago
Job Description :
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, leveraging NLP techniques for text data.
- Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation.
- Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development.
- Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions.
- Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications.
Collaborate with product development teams and communicate with Senior Leadership teams.
- Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions.
Requirements :
- Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience.
- Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural 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, namedentity 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., 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 :
Deep Learning (DL), Algorithms, Computer Science & Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence (AI), ERP Systems, Product Management, Automation, Analytical Models, Predictive Models, Natural Language Processing (NLP), Gen AI, Forecasting Models, Product Development,
Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Algebra, Data Science, Programming Languages: Python, Julia
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