Data Scientist

Key Responsibilities• Collaborate with business users to understand key priorities and use cases, and propose and develop solutions using data science and/or Generative AI techniques to drive business value • Research emerging AI and data science techniques, and identify relevant approaches to explore and adopt, such as Agentic AI, LLMs, predictive models, fraud/anomaly detection, text analytics, and customer segmentation • Perform data wrangling and analysis, including preprocessing, cleaning, and feature engineering • Support the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots • Develop backend APIs and services to support AI model deployment and integration • Build frontend interfaces and user experiences for AI-powered applications • Document changes made to existing products • Review and implement fixes for reported security vulnerabilities Requirements• A minimum Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning, Data Science, AI, or related disciplines • Ability to understand and apply a range of AI/ML techniques for regression and classification • Familiarity with popular Python packages such as pandas, matplotlib, scikit-learn, XGBoost, NLTK, and spaCy • Understanding of LLM concepts such as context windows, embeddings, chunking, and token management, as well as architectures such as RAG • Experience with context engineering techniques and prompt optimization strategies • Proficiency in Git and SQL • Proficiency in Business Intelligence tools such as Tableau, Qlik, MS Power BI, and MicroStrategy Preferred / Bonus SkillsetsThe following additional skillsets will help you excel in this role:• Proficiency in modern programming languages such as TypeScript and C# • Experience with cloud platforms and services, preferably AWS • Experience with Docker and Kubernetes • Experience with web frameworks and full-stack development, including backend frameworks such as FastAPI, Flask, and Express.js, RESTful API development, and frontend technologies such as React, Vue.js, HTML/CSS, and TypeScript • Experience with LLM frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers • Knowledge of vector databases and embedding techniques such as Pinecone, Chroma, and FAISS • Understanding of AI agent frameworks and multi-agent systems • Strong presentation skills, with the ability to explain technical concepts clearly to a non-technical audience • Proficiency in statistical software tools such as R and SAS