Senior data scientist

1 month ago

Bengaluru, India StockGro Full time
Company Vision
Stock Gro is a mobile-first cross-platform (Android & i OS, 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 Stock Gro - 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 Stock Gro
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 Ed Tech and Fin Tech.
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, Tensor Flow, Py Torch).
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 Fin Tech.
Familiarity with recommender systems and personalization techniques.
Experience building and deploying production models.
Data science project portfolio or contributions to open-source libraries.

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