Senior Data Scientist- Gen Ai

Company Vision

StockGro is a mobile-first cross-platform (Android & iOS, Mobile + Web App) Fintech product that’s empowering 25 million+ users to master the art of trading and investment in a risk-free and gamified manner. At StockGro - India’s First and Largest Social Investment Platform, users indulge in Social Investing and learn various trading strategies by interacting with leading fund managers, F&O traders, and algo traders.

About StockGro

Founded in January 2020 by former venture capitalist Ajay Lakhotia, we’re well-funded and just closed a massive Pre-Series A fundraise. We are backed by some of the respected investors - Roots Ventures, Velo Partners, Creed Capital, and the likes of Kunal Shah, Vivekananda Hallekere, Rahul Garg as Angels.

We have some brilliant minds with us, working on a mission to make 400 million Indian millennials investment-ready, with Senior Executives from Sequoia, Swiggy, Glance, Airtel, Uber, and institutions like ISB, NITs, and IIMs.

Responsibilities:

• Design, develop, and deploy machine learning models for personalization (recommendation engines, content optimization).
• Analyze user behavior and platform data to identify trends and areas for improvement.
• Build data pipelines for user data collection, cleaning, and transformation.
• Create data visualizations to communicate findings to both technical and non-technical audiences.
• Participate in A/B testing to measure the effectiveness of features and learning strategies.
• Stay current on advancements in data science and machine learning relevant to EdTech and FinTech.

Qualifications:

• Understanding of large language models (LLMs) like LLAMA, Anthropic Claude 3, or Sonnet.
• Familiarity with cloud platforms for data science like AWS Bedrock and GCP Vertex AI
• Master's in CS, Statistics, Math, or a related field (or Bachelor's with significant experience).
• Strong proficiency in Python and data science libraries (scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical methods, machine learning algorithms, and educational applications.
• Experience in data wrangling, visualization, and analysis.
• Excellent communication skills to explain complex data insights to non-technical audiences.
• Passion for education and belief in data's power to improve learning.
• Collaborative mindset and ability to thrive in a fast-paced startup environment.

Bonus points:

• Experience in FinTech.
• Familiarity with recommender systems and personalization techniques.
• Experience building and deploying production models.
• Data science project portfolio or contributions to open-source libraries.