Senior Data Scientist

Compunnel, Inc.; Raleigh (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior Data Scientist to leverage advanced analytics, ML, and generative AI to extract insights from complex datasets and deliver data-driven solutions. You will mentor colleagues and collaborate with ML Engineers through the production lifecycle.

You will focus on RAG, unstructured data, and customer-facing products, employing models like BERT, RoBERTa, T5, and tools such as ChatGPT, GPT-3.5, Claude, and Mistral to develop innovative AI solutions.

Qualifications

• 8+ years of total professional experience.
• 5+ years of recent Data Science experience.
• 5+ years of recent MCP, RAG implementations, evaluations, validations, proofing, agentic AI, generative AI, and unstructured data.
• Experience building data science solutions for customer-facing products.
• Experience working with Machine Learning Engineers throughout the production lifecycle.

Responsibilities

• Apply machine learning algorithms, including deep learning, gradient boosting, and random forests, to solve complex data science problems.
• Design, implement, evaluate, validate, and proof MCP and RAG-based solutions.
• Develop and evaluate agentic and generative AI solutions using large language models.
• Work with unstructured data and apply appropriate data science and machine learning techniques.
• Work directly with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
• Apply LLM technologies such as ChatGPT, GPT-3.5, Claude, and Mistral to develop innovative solutions.
• Contribute to customer-facing product development and work closely with Machine Learning Engineers throughout the production lifecycle.
• Mentor and train colleagues and serve as a subject matter expert in data science and AI technologies.

Skills

Generative AI

Large Language Models

RAG

Unstructured Data

Python

ML Algorithms

Mentorship

Job description

The Senior Data Scientist will leverage advanced analytical and machine learning expertise to extract insights from complex datasets and develop innovative, data-driven solutions. The role requires strong experience with generative AI, large language models, Retrieval-Augmented Generation (RAG), agentic AI, unstructured data, and customer-facing products. The Data Scientist will work closely with Machine Learning Engineers throughout the production lifecycle and provide technical mentorship and subject matter expertise to colleagues.

Key Responsibilities

• Apply machine learning algorithms, including deep learning, gradient boosting, and random forests, to solve complex data science problems.
• Design, implement, evaluate, validate, and proof MCP and RAG-based solutions.
• Develop and evaluate agentic and generative AI solutions using large language models.
• Work with unstructured data and apply appropriate data science and machine learning techniques.
• Work directly with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
• Apply LLM technologies such as ChatGPT, GPT-3.5, Claude, and Mistral to develop innovative solutions.
• Contribute to customer-facing product development and work closely with Machine Learning Engineers throughout the production lifecycle.
• Mentor and train colleagues and serve as a subject matter expert in data science and AI technologies.

Required Qualifications

• 8+ years of total professional experience.
• 5+ years of recent Data Science experience.
• 5+ years of recent experience with MCP, RAG implementations, evaluations, validations, proofing, agentic AI, generative AI, and unstructured data.
• Experience building data science solutions for customer-facing products.
• Experience working with Machine Learning Engineers throughout the production lifecycle.
• Strong experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Hands-on experience with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
• Experience applying LLMs such as ChatGPT, GPT-3.5, Claude, and Mistral.
• Strong programming and software development skills using Python or another programming language.
• Demonstrated ability to mentor, train, and guide colleagues as a subject matter expert.