Data Architect & Scientist SME

Modern Technology Solutions, Inc.
Dayton, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
$ 10K

Job location

Dayton, United States of America

Tech stack

Algorithm Design
Business Analytics Applications
Systems Engineering
Computer Security
Data Architecture
Data Governance
Data Security
Document Management Systems
R
Python
Machine Learning
TensorFlow
Systems Integration
PyTorch
Deep Learning
Data Strategy
Information Technology
Data Analytics
Machine Learning Operations
Data Pipelines

Job description

MTSI is seeking a Data Architect & Scientist SME to supportdigital transformation,infrastructure modernization, and the development of mission-critical analytics capabilities across secure environments. This role combines advanced systems design, data-driven decision frameworks, and scalable software development to deliver high-reliability architectures tailored for U.S. national security operations. The ideal candidate is a systems engineer and data scientist withexpertisein designing auditable and scalable infrastructures, implementing advanced machine learning workflows, and enabling multimodal system integration in classified ecosystems. The role focuses on integrating secure data architectures and enabling lifecycle traceability to strengthen mission assurance and sustainability., * Design scalable, secure data architectures that enable lifecycle compliance and traceability across multimodal and mission-critical systems.

  • Develop and deploy machine learning workflows, probabilistic reasoning frameworks, and advanced algorithms tailored for operationalobjectives.
  • Integrate distributed, auditable data pipelines aligned withDevSecOpsworkflows to support rapid testing and validation of system prototypes.
  • Direct efforts to enhance semantic clarity and modular tool design by building ontologies and architectures to enable streamlined multimodal integration.
  • Create interoperability guidelines aligned with open system architectures, ensuring scalability and adaptability across mission-critical systems of systems.
  • Develop intuitive, software-driven decision aids and dashboards that transform complex data into actionable intelligence for key stakeholders.
  • Oversee cross-functional prototyping efforts to test and evaluate innovative solutions, balancingresilienceand mission assurance requirements.
  • Mentor engineers and analysts to strengthen adoption of ML-driven architectures and sustain technical capability across mission-critical programs.
  • Document system designs, workflows, and innovations to ensure operational continuity and compliance with lifecycle standards.

Requirements

  • 7+ years of experienceintegrating data architectures(cloud, hybrid,oron-premise)and analytics solutions across mission-critical environments.
  • Expertisein Python, R, TensorFlow,PyTorch, and probabilistic modeling frameworks for machine learning applications.
  • Proficiencyin integrating distributed pipelines with lifecycle analytics frameworks, simulation readiness requirements, and secureDevSecOpsworkflows.
  • Demonstrated ability to enhance systems design using ontologies, modular tools, and architectures focused on interoperability within System-of-Systems environments.
  • Hands-on experience in systems engineering and algorithm development for decision aids aligned with missionobjectives.
  • Familiarity withZero Trust,RMF(NIST SP 800-37/800-53),and DoDDigital Data Strategy,andsimilarstandardsto ensure compliance and secure ecosystem integration.
  • Exceptional communication skills to collaborate across technical and non-technical teams and deliver data-driven decision-making.
  • Experience designing conceptual, logical, and physical data modelsto support analytics, simulation, and decision-support across complex mission systems
  • Proven ability to define and implement data governance and data quality practices

Desired Skills:

  • Proficiencyin designing adaptive architectures to integrate ML-enabled workflows and data-driven modeling.
  • Experience mentoring teams, championing innovative solutions, andmaintainingmission resilience across high-stakes projects.
  • Ability to manage multiple concurrent priorities and timelines in cross-functional, classified environments.

Education Requirements:

  • Bachelor's degree in data science,Computer Science,Mathematics,Engineering,Statistics, or related disciplinesrequired.
  • Master's degree or PhD preferred.

Security Clearance Level Required:

  • An active TS/SCI security clearance is required to start.
  • U.S. Citizenship is required for this position.

Benefits & conditions

100% Employee Owned: We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year. * Great Benefits - Most Full-Time Staff Are Eligible for:

Starting PTO accrual of 20 days PTO/year + 10 holidays/year * Flexible schedules * 6% 401k match with immediate vesting up to $9k annually * Semi-annual bonus eligibility (July and December) * Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account * Up to $10,000 in annual educational reimbursement * Other company funded benefits, like life and disability insurance * Optional zero deductible Blue Cross/Blue Shield health insurance plan

Track Record of Success: We have grown every year since our founding in 1993.

About the company

Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.

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