Role Overview
As a Lead Data Scientist, you will leverage your expertise in classical modeling, deep neural networks, and Generative AI/LLMs to solve complex, data-intensive business problems. You will collaborate closely with product, marketing, engineering, and leadership teams, significantly contributing to Angel One’s growth through advanced, hands-on analytics and machine learning initiatives.
What You Will Do
Develop and enhance User Quality Scoring models, build robust predictive models to estimate Customer Lifetime Value (LTV), design and implement predictive analytics solutions, and engineer personalized Product and Feature Recommendation systems.
Why It Might Be a Fit
If building for the next generation of India excites you, let’s chat!
Requirements
- Technical Expertise: Demonstrated hands-on proficiency in Python, SQL, machine learning frameworks (TensorFlow, PyTorch), Generative AI (e.g., OpenAI, Hugging Face), and classical analytics tools.
- Deep Learning & Gen AI: Proven experience in building deep neural network models (CNN, RNN, Transformers) and leveraging Generative AI / Large Language Models (LLMs) for NLP and predictive analytics.
- Predictive Modeling: Strong background in classical statistical modeling and machine learning techniques (regression, clustering, classification).
- NLP & Chatbot Development: Hands-on experience developing and deploying NLP models and conversational AI solutions.
- Marketing Analytics: Deep understanding of digital marketing strategies, performance optimization, and customer acquisition analytics using classical and neural network models.
- Data Visualization & Reporting: Ability to clearly communicate analytical insights through intuitive visualizations (Tableau, Power BI, etc.).
- Analytical Thinking: Strong analytical mindset with the capability to transform complex datasets into actionable insights.
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