Senior Data Scientist, Agentic AI; x2

Position: Senior Data Scientist, Agentic AI (x2)
We are seeking a highly skilled Senior Data Scientist with deep expertise in agentic AI, large language models, and advanced machine learning.

This role offers the opportunity to apply cutting-edge AI to real-world challenges, delivering measurable business impact by driving automation, intelligence, and efficiency across the organization.

As part of a forward-looking Data & AI organization, you'll join a multidisciplinary team of scientists, engineers, product leaders, and analysts building enterprise-grade AI solutions that enhance growth, strengthen risk management, and improve user experience. You will work on high-visibility initiatives, transforming complex business processes using next-generation AI.

Key Responsibilities

• Design and deploy agentic AI systems that automate complex workflows and improve decision-making across core business operations.
• Implement and optimize LLMs and generative AI solutions for processing unstructured data (e.g., legal/compliance documents, claims data, customer interactions).
• Build intelligent autonomous agents and multi-step reasoning systems that integrate with enterprise platforms.
• Partner with data engineering and AIOps teams to ensure models are scalable, production-ready, and reliable from prototype through deployment.
• Translate research in agentic AI, reinforcement learning, and reasoning into practical enterprise applications.
• Work closely with product owners, technology teams, and business stakeholders to scope use cases and measure value.
• Develop repeatable frameworks for testing, deploying, and monitoring agentic AI solutions.
• Provide mentorship to junior data scientists and support the standardization of AI/ML practices across the organization.

You Are

• Motivated by applying advanced AI to solve real-world business problems.
• Passionate about the potential of agentic AI, autonomous systems, and LLMs.
• A hands-on innovator who sees projects through from research to operational deployment.
• Able to communicate complex technical concepts to senior business partners.

Qualifications

• PhD with 2+ years of applied experience or Master's with 4+ years in Computer Science, Statistics, Engineering, Applied Mathematics, or a related field.
• 3+ years of hands-on experience developing AI/ML solutions.
• Strong foundations in probability, statistics, and machine learning.
• Proficiency with Python and modern AI frameworks (e.g., PyTorch, Tensor Flow, Lang Graph).
• Experience building and deploying scalable AI systems that integrate with enterprise platforms.
• Excellent problem-solving skills and attention to detail.
• Demonstrated ability to mentor technical talent and drive high-impact results.

Compensation: $115,000 to $190,000 annually
Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.