Principal Data Scientist jobs in United States
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Maximus · 4 hours ago

Principal Data Scientist

Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. The role involves architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, while also leading AI/ML initiatives and providing actionable insights from operational data.

Business Process Automation (BPA)ConsultingEducationGovernmentGovTechHealth CareInformation Technology
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H1B Sponsor Likelynote

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
Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, 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 enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning
Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments

Qualification

AI/ML experienceSoftware DevelopmentData AnalyticsProgramming PythonProgramming RModelingSimulationCloud certificationsMentoring Junior StaffProgram ManagementStrategic CommunicationTeam CollaborationAdaptability

Required

Bachelor's degree in related field required
10-12 years of relevant professional experience required
10+ years of relevant Software Development + AI / ML / DS experience
Professional Programming experience (e.g. Python, R, etc.)
Experience with AI / Machine Learning
Experience working as a contributor on a team
Experience leading AI/DS/or Analytics teams
Experience mentoring Junior Staff
Experience with Modeling and Simulation
Experience with program management

Preferred

Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.)
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 or modeling and simulation
Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres
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
Use and development of program automation, CI/CD, DevSecOps, and Agile
Experience managing technical teams delivering technical solutions for clients
Experience working with optimization problems like scheduling
Experience with Data Analytics and Visualizations
Cloud certifications (AWS, Azure, or GCP)
10+ yrs of related experience in AI, advanced analytics, computer science, or software development

Benefits

Health insurance coverage
Life and disability insurance
A retirement savings plan
Paid holidays
Paid time off

Company

Providing government technology services, digitally enabled customer experiences, and clinical health services that change lives.

H1B Sponsorship

Maximus has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (39)
2024 (39)
2023 (50)
2022 (42)
2021 (36)
2020 (42)

Funding

Current Stage
Public Company
Total Funding
$7.93M
2010-12-09Post Ipo Equity· $7.93M

Leadership Team

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Elisabeth Schmidt
Senior Vice President
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Michael Mateer
Sr. Vice President, Enterprise Technology
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Company data provided by crunchbase