Lead Data Scientist - Algorithm Architect

Description & Requirements

We now have an exciting opportunity for a Lead 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 technical leader 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 developing new and innovative algorithms that further the responsible us of AI at Maximus and enable the business to make data driven decisions by crafting mathematically rigorous decision methodologies.

This role requires strong systems thinking, problem-solving abilities, mathematical modeling, 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) in addition to managing and expanding our AI Accelerator portfolio and capabilities.

Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.

Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.

What You Will Do:

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

Lead the use of applied mathematical analyses to provide solutions...