Staff Data Scientist

As a Staff 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.

Develop and enhance User Quality Scoring models using classical statistical methods and deep learning architectures.

Build robust predictive models to estimate Customer Lifetime Value (LTV) utilizing deep neural networks and classical regression techniques.

Design and implement predictive analytics solutions, including sequential deep learning models (e.g., LSTM, GRU) to accurately forecast User Churn based on user behavioral data.

Engineer personalized Product and Feature Recommendation systems employing deep neural network embedding techniques and collaborative filtering methods.

Leverage analytics and classical machine learning techniques for strategic Cross-Selling and Up-Selling of financial products.

Create predictive frameworks assessing Loan Risk and Recoverability using advanced statistical modeling and deep learning techniques.

Develop sophisticated NLP-driven Chat Bots using Generative AI/LLM models for improved customer interactions across product support, recommendations, pre-sales, and FAQs.

Apply classical time-series modeling, deep learning, and Generative AI to predict and interpret User Trading Behaviors based on market analytics, macroeconomic trends, and news sentiment.

Segment and classify users based on their App Interactions and Behavioral Patterns , integrating classical clustering methods and deep neural classification models.

Optimize and fine-tune Performance Marketing Campaigns using deep neural networks, classical model optimization, and Generative AI-driven experimentation for scalable user acquisition.

As an Equal opportunity employer, we wholeheartedly welcome people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class or age to be part of our team. We believe that everyone's unique experiences and viewpoints make us stronger together. Come and be a part of #OneSpace*, where your individuality is celebrated and embraced.