Job Summary

We are seeking a Senior Data Scientist II with 10-12+ years of total experience and at least 8+ years of recent Data Science experience. The ideal candidate will have strong end-to-end experience with Retrieval-Augmented Generation (RAG), Generative AI, agentic AI, Model Context Protocol (MCP), unstructured data, and RAG implementation, evaluation, validation, and proofing. Strong Python programming skills and excellent communication are essential. The candidate will contribute to customer-facing products and work closely with Machine Learning Engineers (MLEs) throughout the production lifecycle. Strong tenure within enterprise companies is highly valued.

Key Responsibilities
• Leverage advanced data science and analytical skills to extract insights from complex datasets.
• Design, develop, implement, evaluate, and validate machine learning and AI solutions.
• Develop and support end-to-end Retrieval-Augmented Generation (RAG) implementations, including evaluation, validation, and proofing.
• Work directly with Large Language Models (LLMs), Generative AI, and Transformer-based architectures.
• Apply agentic AI approaches and MCP capabilities to enterprise and customer-facing product use cases.
• Work with unstructured data to develop AI and data science solutions.
• Collaborate with Machine Learning Engineers throughout the model and product production lifecycle.
• Apply machine learning algorithms including deep learning, gradient boosting, and random forests.
• Work with large language models and Transformer-based architectures such as BERT, RoBERTa, and T5.
• Apply LLM technologies and platforms including ChatGPT, GPT-3.5, Claude, Mistral, and similar models.
• Work with large datasets and distributed computing technologies such as Hadoop and Spark.
• Develop high-quality Python code for data science, machine learning, and AI applications.
• Translate analytical and modeling outcomes into actionable insights and innovative solutions.
• Collaborate with cross-functional teams to enhance business strategies and support data-driven decision-making.
• Contribute to customer-facing product development and ensure data science solutions meet product and business requirements.
• Mentor, train, and serve as a subject matter expert to guide colleagues and support team development.
• Communicate technical concepts, analytical findings, model behavior, and recommendations clearly to technical and non-technical stakeholders.

Required Qualifications
• 10-12+ years of total professional experience.
• 8+ years of recent experience working in Data Science.
• Strong end-to-end RAG experience, including implementation, evaluation, validation, and proofing.
• Experience with MCP, agentic AI, Generative AI, and unstructured data.
• Experience developing data science solutions for customer-facing products.
• Experience working with Machine Learning Engineers throughout the production lifecycle.
• Strong Python programming skills.
• Strong hands-on experience working with Large Language Models and Transformer-based architectures.
• Experience with Transformer architectures such as BERT, RoBERTa, T5, or similar technologies.
• Experience applying LLMs such as ChatGPT, GPT-3.5, Claude, Mistral, or similar models.
• Experience with machine learning algorithms including deep learning, gradient boosting, and random forests.
• Experience working with large datasets and distributed computing systems such as Hadoop and Spark.
• Strong analytical, problem-solving, and communication skills.
• Demonstrated ability to work collaboratively with cross-functional teams.
• Demonstrated ability to operate as a senior-level data science practitioner and subject matter expert.

Preferred Qualifications
• Strong tenure and experience within large enterprise companies.
• Experience delivering enterprise-scale Data Science and AI solutions.
• Experience with customer-facing AI products and production-scale Generative AI implementations.
• Experience mentoring, training, and guiding other Data Science professionals.