Data Scientist
Core
Mid-level data scientist building ML, NLP, generative AI, and computer vision models to drive product decisions and business outcomes for an investment company.
Role type
Mid-level hands-on IC data scientist (ML/AI)
Builds
Production ML models, intelligent applications, dashboards, and automated workflows
Domain
Financial services / Machine Learning / Generative AI / Computer Vision
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow), SQL/PostgreSQL, Machine Learning fundamentals, NLP/LLMs (Transformers, BERT, GPT), Docker, Statistical analysis, Generative AI tools (LangChain, LlamaIndex, OpenAI API, Hugging Face), RAG/vector stores, Computer Vision (OpenCV, YOLO), Front-end (React, TypeScript, Tailwind), CRM integration (Zoho)
Preferred skills
Experience with AI automation tools (n8n, Zapier, Base44), Prompt engineering, A/B testing design
Technologies
Python, PostgreSQL, Docker, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, OpenCV, React, TypeScript, Tailwind, n8n, Zapier, Zoho CRM
Responsibilities
Design, train, evaluate, and deploy supervised/unsupervised ML models; Develop and fine-tune NLP models and RAG pipelines; Build and adapt computer vision models for classification and detection; Conduct EDA, statistical modeling, and A/B tests; Build dashboards and internal tools using React/TypeScript; Automate workflows and integrate model outputs into CRM systems; Collaborate with engineers and product managers to define problems and metrics.
Seniority
Mid-level, hands-on IC