About this opportunity
Compunnel, Inc. lists this Senior Data Scientist II opportunity in raleigh, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Summary
We are seeking a Senior Data Scientist II with advanced analytical and machine learning expertise to extract insights from complex datasets and develop innovative data-driven solutions. The ideal candidate will have strong experience with Generative AI, agentic AI, RAG, MCP implementations, unstructured data, and customer-facing products. The role will involve collaborating with Machine Learning Engineers and cross-functional teams throughout the production lifecycle while providing technical mentorship and subject matter expertise.
Key Responsibilities
Apply advanced analytical skills to extract insights from complex datasets and support data-driven decision-making.
Design, implement, evaluate, validate, and proof MCP and RAG solutions.
Develop and support agentic and Generative AI solutions.
Work with unstructured data to develop innovative data science and AI solutions.
Collaborate with Machine Learning Engineers throughout the production lifecycle of customer-facing products.
Apply machine learning algorithms, including deep learning, gradient boosting, and random forests.
Work directly with large language models and Transformer-based architectures, including BERT, RoBERTa, and T5.
Apply LLM technologies including ChatGPT, GPT-3.5, Claude, Mistral, and similar models.
Work with large datasets and distributed computing systems such as Hadoop and Spark.
Collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis.
Provide mentorship, training, and subject matter expertise to colleagues.
Contribute to the development of innovative solutions and data-driven products.
Required Qualifications
8+ years of total professional experience.
5+ years of recent Data Scientist experience.
5+ years of experience with MCP, RAG implementations, evaluations, validations, or proof-of-concept development, agentic AI, Generative AI, and unstructured data.
Experience building or supporting customer-facing products using data science.
Experience collaborating with Machine Learning Engineers throughout the production lifecycle.
Strong Python programming skills.
Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Strong knowledge and 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, Mistral, or similar models.
Experience working with large datasets and distributed computing systems such as Hadoop and Spark.
Experience mentoring, training, and serving as a subject matter expert to guide colleagues.
Preferred Qualifications
Experience working in large enterprise environments.
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Worksite address
raleigh, NC, 27601, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.