Senior Data Scientist - Algorithm Architect - Maximus

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 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.

Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):

- Professional Programming experience (e.g. Python, R, etc.)

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming

- Experience with Linux

- Experience with Statistics

- Experience with Linear Algebra and Calculus

- Experience applying mathematical principles to real world problems

- Experience with Machine Learning

- Experience working as a contributor on a team

Minimum Education requirement:

- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)

Years of Required Work-Related Experience:

- 3+ yrs experience in Artificial Intelligence and Machine Learning

- 3+ yrs experience in Software Development

- 3+ yrs of Mathematical Modeling

Required Certifications:

- None

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Preferred Key Skills and Abilities (not contractually required):

- Masters in quantitative discipline

- Experience developing machine learning or signal processing algorithms:

- Ability to leverage mathematical principles to model new and novel behaviors.

- Ability to leverage statistics to identify true signals from noise or clutter

- Experience working as an individual contributor in AI

- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.

- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles

- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.

- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.

- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding

- Use and development of program automation, CI/CD, DevSecOps, and Agile

- Experience with deep learning model architecture development and philosophy

- Cloud certifications (AWS, Azure, or GCP)

- 5+ yrs of related experience in AI, advanced analytics, computer science, mathematical modeling, or software development.

- Python Experience with TensorFlow, PyTorch, and Pandas

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary

$

123,440.00

Maximum Salary

$

180,000.00