Data Scientist
Core
Design, develop, test, and deliver data science, Machine Learning, Generative AI, and Agentic AI solutions to address business needs and improve customer experiences.
Role type
Individual contributor Data Scientist II (Generative AI & ML)
Builds
Predictive models, NLP/LLM solutions, RAG pipelines, intelligent assistants, and Agentic AI workflows
Domain
Enterprise AI, Generative AI, Machine Learning, NLP
Deliverable
production ML models
Required skills
Python, SQL, feature engineering, model validation, experiment design, prompt engineering, RAG, LLM evaluation, workflow orchestration, REST APIs, CI/CD, containers
Preferred skills
TensorFlow, PyTorch, Hugging Face, LangChain, Azure OpenAI, Azure Machine Learning, MLflow, Tableau, Power BI
Technologies
Python, SQL, Pandas, NumPy, Scikit-learn, Jupyter, Matplotlib, Seaborn, TensorFlow, PyTorch, Hugging Face, SpaCy, LangChain, LangGraph, Azure OpenAI, Azure Machine Learning, MLflow, Git, Docker
Responsibilities
Prepare and analyze structured/unstructured data; engineer features and build predictive models; evaluate solution quality using metrics and error analysis; build reusable code, APIs, and automated workflows; collaborate with engineering and senior data scientists
Seniority
Mid-level, hands-on IC
