Data Scientist

Key Responsibilities:

• Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
• Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, vector store integration, and evaluation frameworks.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies that inform business decisions and product strategy.

Qualifications:

• 3+ years of experience as a Data Scientist or ML Engineer, with a track record of delivering production-grade models.
• Proficiency in Python and the core data science stack: pandas, NumPy, scikit-learn, and FastAPI.
• Strong proficiency in SQL and experience querying large datasets in cloud environments (Azure, AWS).

Preferred Experience:

• Experience with large language models and AI platforms such as Azure AI Foundry or AWS Bedrock.
• Experience with AI-assisted development workflows using tools like Cursor and Claude.
• Hands-on experience with Azure and AWS services, including cloud-based ML workflows and managed AI services.

Compensation & Benefits:

• Base pay range: $90,000 - $120,000, plus annual incentive bonus.
• Comprehensive benefits package includes group medical, dental, and vision insurance, employer-paid life and disability insurance, annual well-being stipend, and a 401(k) plan with employer contribution.