Principal Data Scientist

Description & Requirements

We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients.

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.

This role requires strong systems thinking, problem-solving abilities, 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 also 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.)

This position requires occasional travel to the DC area for client meetings.

Essential Duties and Responsibilities:

- Make deep dives into the data, pulling out objective insights for business leaders.

- Initiate, craft, and lead advanced analyses of operational data.

- Provide a strong voice for the importance of data-driven decision making.

- Provide expertise to others in data wrangling and analysis.

- Convert complex data into visually appealing presentations.

- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.

- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.

- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.

- Utilize various languages for scripting and write SQL queries.

Serve as the primary point of contact for data and analytical usage across multiple projects.

- Guide operational partners on product performance and solution improvement/maturity options.

- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.

- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.

- Mentor more junior data analysts/data scientists as needed.

- Apply strategic approach to lead projects from start to finish;

Job-Specific Minimum Requirements:

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

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

- Contribute to efforts across the enterpri...