Senior Data Scientist - Algorithm Architect

Description & Requirements

We now have an exciting opportunity for a Senior Data Scientist specializing in algorithm architectures to join the Maximus AI Accelerator supporting the enterprise at large.

We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient.

Additionally, you will be responsible for supporting the development of new and novel algorithms that ensure the responsible deployment of AI across the enterprise and support the development of data driven decision making methodologies.

This role requires strong systems thinking, problem-solving abilities, mathematics, and the capacity to manage risk and change in complex environments.

Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

What You Will Do:

- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.

- Develop mathematically rigorous process improvement procedures.

- Maintain advanced, current knowledge of the AI technology la...