Machine Learning Data Scientists

Data Scientist AI/ML Development Huntsville, AL Job Details

Full-time 16 hours ago

Benefits

• Disability insurance
• Health insurance
• Tuition reimbursement
• Paid time off
• 401(k) 6% Match
• 401(k) matching
• Employee stock ownership plan
• Flexible schedule

Qualifications

• TensorFlow
• Statistics
• Doctoral degree in mathematics
• Top Secret Clearance
• Doctoral degree in statistics
• MATLAB
• Power BI
• Data visualization software proficiency
• Azure
• Data mining
• Statistics
• Computer Science
• PyTorch
• Spark
• QlikView
• Alteryx
• Mathematics
• Secret Clearance
• Application deployment
• Google Cloud Platform
• Mid-level DoD experience
• Tableau
• Fortran
• 3 years
• Data governance
• Master's degree
• Doctoral degree in Computer Science
• Technical solutions implementation
• AWS
• Analysis skills
• C++
• Spark implementation
• Ph.D. in statistics
• Doctor of Philosophy
• Model deployment
• JavaScript
• Mentoring
• Master's degree in statistics
• Software documentation
• Developing data pipelines
• APIs
• Master's degree in mathematics
• Agile software development
• Master's degree in computer science
• Open source contribution
• Machine learning libraries
• Data analytics tools
• SaaS
• AI
• Cross-functional collaboration
• Model evaluation
• Machine learning frameworks
• TypeScript
• Communication skills
• MLOps
• Cross-functional communication
• Data Science
• Hadoop

Full Job Description

We are seeking a highly motivated and experienced Data Scientist to join our team working with the Missile Defense Agency. The ideal candidate will have a strong background in artificial intelligence, machine learning, data analytics, and optimization, data preparation for these methods, and deployment of solutions in a Software as a Service platform. They will be responsible for developing and implementing advanced analytics and AI/ML pipelines to address complex defense challenges and contribute to the advancement of our products and services. This role requires a combination of strong theoretical understanding, practical implementation skills, and a passion for innovation.

Responsibilities

• Collaborate with cross-functional teams to identify and frame customer challenges.
• Design, develop, and implement analytics solutions using AI/ML, optimization, and data analytics platforms (e.g., Palantir Foundry or equivalent SaaS platforms).
• Perform data engineering tasks to support solution lifecycle, ensuring compliance with current data governance policies.
• Apply MLOps and Agile development methodologies to manage deployment, monitoring, and iterative enhancement of analytics solutions.
• Develop and apply model evaluation metrics; monitor model performance for continuous improvement.
• Create and maintain solution documentation to meet customer requirements.
• Stay abreast of advancements in AI/ML, data mining, and analytics, and implement new technologies and techniques where applicable.
• Contribute to the development of internal tools and libraries to boost team efficiency.
• Mentor junior team members, participate in code reviews, and share expertise to maintain a high-quality codebase.

Required Qualifications

• US Citizenship: and an active secret level security clearance
• Master's degree or PhD: in Computer Science, Statistics, Mathematics, Operations Research, Data Science, or a related field.
• 3-7 years of experience: in developing and implementing AI/ML solutions in a professional setting, including integration with SaaS platforms such as Palantir Foundry.
• Proficient in programming languages: (e.g., Python, Typescript2, JavaScript) and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) for AI/ML and data science.
• Hands-on experience: with data engineering tasks supporting solution development, deployment, and lifecycle management. Including working with structured and unstructured data, time series data, associated query languages, and APIs, and integration with Office 365.
• Strong foundation in analytics: statistics, mathematical modeling, optimization, and AI/ML algorithms, with expertise in applying these to large datasets.
• Exceptional analytical skills: with sufficient breadth to select and apply appropriate methodologies for complex challenges.
• Proficiency in data visualization: tools and techniques to effectively communicate insights.
• Collaboration and Communication: Strong teamwork and communication skills to work effectively in cross-functional environments.

Desired qualifications

• Top Secret security clearance
• Familiarity with DoD data systems, data types, and the Missile Defense Agency (MDA) mission, including warfighting concepts such as command and control, situational awareness, machine autonomy, munitions guidance, targeting, image recognition, and electronic warfare.
• Experience developing analytics solutions to support decision-making processes.
• Hands-on experience implementing LLM-based applications in Palantir Foundry and deploying models to production using MLOps methodologies.
• Proficient with multiple SaaS analytics platforms (e.g., PowerBI, QlikSense, Tableau, Alteryx) and big data technologies (e.g., Spark, Hadoop).
• Skilled in converting legacy code (e.g., FORTRAN) and engineering scripting languages (e.g., MATLAB) for use in modern SaaS platforms.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Certified data management professional (CDMP) credentials; contributions to open-source AI/ML projects; publications in peer-reviewed conferences or journals.
• Proven ability through a portfolio showcasing analytics work with high-impact solutions to complex challenges.
• Familiarity with digital engineering concepts and tools.
• Understanding of long-range planning, budgeting, acquisition, project management, policy, task management, and compliance workflows.

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Perks and Benefits

• Vacation: New Hires Accrue 20 days of PTO and 10 Holidays per Year
• Health Insurance: Zero Deductible Health Plans
• Flexible Schedules: Flex Schedules
• Professional Development: Up to $10,000 Annual Education/Training Reimbursement
• ESOP: Funded Stock Ownership Plan
• 401k Match+: 6% 401k Match + Immediate Vesting
• Bonus Program: Semi-Annual Bonus Opportunity
• Mentorship: Career Mentorship Programs

Why is MTSI a great place to work

• Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security.
• Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
• 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. 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. For more information about MTSI, please visit www.mtsi-va.com.

EEO Statement

MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.