Applied AIML Data Scientist Lead - Vice President

What you'll do

• Collaborate with product managers, data scientists, ML engineers, and stakeholders to understand requirements and prioritize use cases.
• Build and fine-tune GenAI/LLM solutions; perform data analysis, model training, testing, and selection.
• Derive insights from modeling and analysis, communicate results to technical and non-technical audiences, and stay current with AI research.

What they ask for

• PhD in Computer Science or a related quantitative discipline with 2+ years of relevant experience, or MS/BS in Computer Science or a related field with 4+ years of relevant experience.
• Practical LLM project expertise and supervised/unsupervised ML experience, including a track record deploying AI/ML applications in production.
• Proficiency in Python and SQL; experience with ML frameworks, libraries, and APIs such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Experience with large, complex datasets, user feedback for agentic refinement, and AI/LLM optimization for NLP applications.

Nice to have

• Experience working with engineering teams to operationalize ML models.
• Expertise with RAG and Agentic AI pipelines; hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, or Graph-of-Thoughts prompting.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

GenAI, LLM, Python, Spark, AWS, SQL, TensorFlow, PyTorch

AI focus

Builds, fine-tunes, and evaluates GenAI/LLM applications for legal use cases, including agentic refinement, NLP optimization, and AI/ML model deployment.