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Principal Investigator – Process Development Scientist Kelly® Science & Clinical is seeking a Principal Investigator - Process Development Scientist for a direct-hire position at a cutting-edge client in Colorado Springs, CO. If you’re passionate about bringing the latest scientific discoveries to life and are ready to take the next step in your career, trust The Experts at Hiring Experts. Salary: $120,000.00 to $140,000.00 annually Schedule: Full-time onsite Overview This client is an industry-leading company driving innovation in pharmaceutical process development and technology transfer. In this role, you will lead process development activities, manage technology transfer projects, and oversee pilot plant operations to ensure robust, scalable manufacturing processes for diverse drug products. Responsibilities Process Development & Scale-Up • Lead process development activities to establish robust, scalable manufacturing processes for diverse drug products., • Design and execute process characterization studies to identify critical process parameters (CPPs) and proven acceptable ranges (PARs)., • Develop and optimize unit operations for various dosage forms, ensuring seamless transition from laboratory to pilot scale., • Implement Quality by Design (QbD) principles and statistical process control methodologies. Technology Transfer Leadership • Serve as technical lead for end-to-end technology transfer activities between R&D, manufacturing sites, and client facilities., • Develop and execute comprehensive tech transfer protocols, including process comparability and equivalence studies., • Lead cross-functional tech transfer teams to ensure successful knowledge transfer and process implementation., • Establish and maintain tech transfer documentation systems and best practices. Pilot Plant Operations Management • Oversee cGMP pilot plant operations for process validation, clinical, and commercial batch production., • Develop and optimize manufacturing processes to enhance efficiency, yield, and quality., • Implement continuous improvement initiatives for pilot plant operations and equipment utilization., • Manage process troubleshooting and deviation investigations to maintain production schedules. Capital Project & Facility Management • Lead equipment qualification and validation activities for new process equipment installations., • Manage facility modification projects to support process improvements and technology implementation., • Develop and execute capital project plans for process equipment upgrades and expansions., • Optimize facility layout and workflow for enhanced operational efficiency. Quality & Compliance Systems • Ensure compliance with cGMP standards (21 CFR 210/211) and data integrity requirements (21 CFR 11)., • Develop and implement process validation strategies in accordance with regulatory requirements., • Lead process-related investigations and implement corrective/preventive actions., • Maintain audit readiness and support regulatory inspections. Project Management & Client Relations • Manage multiple client tech transfer projects simultaneously, ensuring adherence to timelines and budgets., • Serve as primary technical contact for client process-related discussions and strategy development., • Develop project plans, risk assessments, and contingency strategies for tech transfer activities., • Provide technical leadership and guidance to cross-functional project teams. Qualifications • Bachelor’s degree in science required with 8+ years' relevant work experience., • Advanced degree (M.S. with 5+ years or Ph.D. with 3+ years) in Engineering or Pharmaceutical Sciences preferred., • Experience with Solid Dosage Forms, • Extensive experience in pharmaceutical process development and technology transfer within CDMO/CRO environment., • Proven track record in managing complex tech transfer projects and process scale-up activities. Technical Expertise • Strong background in pharmaceutical process engineering and manufacturing technology., • Hands-on experience with process validation and equipment qualification., • Extensive knowledge of cGMP requirements and quality systems., • Demonstrated expertise in tech transfer methodologies and best practices., • Experience with process automation and control systems. Project Management Skills • Proven experience managing capital projects and process improvement initiatives., • Excellent organizational and time management skills., • Ability to manage multiple complex projects simultaneously., • Strong risk assessment and contingency planning capabilities. Professional Competencies • Excellent technical leadership and team management skills., • Strong client relationship management and communication abilities., • Ability to work effectively in cross-functional team environments., • Demonstrated problem-solving and decision-making capabilities., • Strong documentation and technical writing skills. What happens next Once you apply, you’ll proceed to next steps if your skills and experience look like a good fit. But don’t worry – even if this position doesn’t work out, you’re still in our network. That means our team of expert Science & Clinical recruiters will have access to your profile, making your opportunities limitless.

At Slingshot Aerospace,we'reon a mission to make space safer and more securefor everyone. Our work directlyimpactsglobal security, disaster response, climate monitoring, and the critical infrastructure that connects our world.We'rea team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast,we'renot afraid to fail, and we believe the best ideas can come from anywhere-whetheryou'rein engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impactwe'remaking and help shape the future of an industrythat'sjust getting started,you'rein the right place. As a Senior Solutions Architect, Data Scientist & Systems Engineer, you will serve as a key pre-sales technical partner supporting Slingshot's government and commercial customers. You will work closely with Sales, Capture, Product, and Engineering teams to translate customer missions and technical requirements into scalable, data-driven solutions. In this role, you will combine solution architecture, applied data science, and systems engineeringexpertiseto shape customer engagements, influence solution design, and support successful deal outcomes. We'rebuilding a team of sharp, creative people who love solving hard problems. We value curiosity over ego, initiative over waiting for permission, and people who genuinely care about doinggreat work. Bring yourexpertise, your fresh ideas, and your drive-we'llbring the rocket fuel. • Partner with Sales and Capture teams throughout the pre-sales lifecycle to support opportunity qualification, solution design, and technical alignment, • Engage directly with customers to understand missionobjectives, operational workflows, data environments, and technical constraints, • Architect end-to-end solutions that integrate Slingshot products, data pipelines, analytics, and external systems, • Develop and deliver technical briefings, solution overviews, demonstrations, and whiteboard sessions for customer and partner audiences, • Translate customer requirements into clear technical inputs for Product and Engineering teams, • Apply data science and systems engineering principles to evaluate solution feasibility, performance, and scalability, • Support proposal development, including technical volumes, architectures, and solution narratives, • Collaborate cross-functionally to ensure proposed solutions are achievable, aligned to roadmap, and responsive to customer needs, • Provide feedback from customer engagements to inform product strategy and technical prioritization, • Perform other duties as assigned (less than 10%), • 8+ years of professional experience in solutions architecture, systems engineering, data science, or related technical roles, or equivalent experience, • Experience supporting customer-facing or pre-sales technical engagements, • Strong understanding of system architectures, data flows, and analytical or software-driven solutions, • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences, • Demonstrated experience collaborating across Sales, Product, and Engineering teams, • Bachelor's degree in engineering, computer science, data science, or a related technical field, or equivalent experience, • Ability to travel up to 20-25%, or equivalent flexibility, • Experience in a pre-sales engineer or solutions architect role supporting complex enterprise or government customers, • Background in data analytics, modeling, or applied data science, • Familiarity with space, defense, aerospace, or mission-focused technology domains, • Experience supporting proposal responses, RFIs, or customer demonstrations Location: Remote, US Salary: $99,000 - $166,000 US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one's identity. All of our employees' points of view are key to our success, and we embrace individuality.

Job Locations US-CO-Colorado Springs Job ID 2026-13657 # of Openings 2 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time LMI is actively seeking a dynamic, Mid-level Data Scientist to join LMI's Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI's Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR. The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be an active contributor in the data science team to create robust analysis pipelines. You'll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud deployment environments. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results • Lead data science related taskings in direct support of customer requirements, • Identify, propose, and lead in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products., • Understand and analyze complex datasets, • Define and develop techniques to integrate, consolidate, and structure data for analytical use, • Lead the maturation of data quality, • Transform data and analysis into informative visualizations and interactive dashboards, • Provide regular detailed reporting to management and briefings to USSF customers, • Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline with 2-5 years of experience (1-4 years with Master's degree) in data science., • 2+ years experience with data science/analysis coding languages like SQL, Python, or R with agile development methodologies, • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases., • Proficiency in developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js, • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics., • Experience with version control software e.g Git, • Self-starter with the vision to independently identify opportunities for improvement through data analytics, • Ability to work in teams and independently, • Excellent communication skills, written and oral, • Innovative problem-solving skills and ability to thrive in a fast-paced environment, • Advanced degree in Computer Science or related field., • Experience using python libraries to build machine learning models like regression models and decision trees, • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success, • Space domain experience and familiarity with space-focused software solutions., • Possess a natural curiosity and desire to challenge yourself and those around you, • Knowledge of cybersecurity best practices.

Job Locations US-CO-Colorado Springs | US-CA-El Segundo Job ID 2026-13822 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time LMI is actively seeking a dynamic, Entry-level Data Scientist to join LMI's Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI's Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR. The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be assisting the data science team to create robust analysis pipelines. You'll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud (AWS) deployment environments. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results • Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products., • Understand and analyze complex datasets, • Define and develop techniques to integrate, consolidate, and structure data for analytical use, • Support the maturation of data quality, • Transform data and analysis into informative visualizations and interactive dashboards, • Provide regular detailed reporting to management and customers, • Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline, • Competency with data science/analysis coding languages like SQL, Python, or R, • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js, • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics., • Self-starter with the vision to independently identify opportunities for improvement through data analytics, • Ability to work in teams and independently, • Excellent communication skills, written and oral, • Innovative problem-solving skills and ability to thrive in a fast-paced environment, • Advanced degree in Computer Science or related field., • Experience using python libraries to build machine learning models like regression models and decision trees, • Experience with version control software e.g Git, • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases., • Experience with back-end technologies (Rust, Python, Java) within agile development frameworks, • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success, • Space domain experience and familiarity with space-focused software solutions., • Possess a natural curiosity and desire to challenge yourself and those around you, • Knowledge of cybersecurity best practices. The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. We can recommend jobs specifically for you! Click here to get started.

You will help lead the design, development, and deployment of scalable models that power business decisions. This will be a remote position working closely with Data Engineers, ML Engineers, and business partners to build production-ready solutions that drive measurable impact.

Job DescriptionThe MissionAt Kestrel, we are building the future of scalable autonomy across domains. Our systems enable commercial and national security customers to sense and act in support of complex missions without significant autonomous system expertise. This technology bridges domains (e.g., space, air, land, sea) and fields (e.g., AI, orbital dynamics, geospatial), requiring a team that has both breadth and depth in these related topics. The RoleWe are looking for an individual contributor to architect and deploy production-grade subsystems that power our cutting-edge products for both commercial clients and critical national security missions. As a Kestrel Data Scientist, you will lead the development of high-fidelity data processing pipelines, traditional AI/ML models, and wrapping them into tools for next-generation Agentic AI. You will work at the bleeding edge of geospatial science. This role requires adaptability, engineering rigor, and a deep respect for the mission. Core Responsibilities:- Architecture: Lead the end-to-end creation of production-ready AI/ML and agentic subsystems.- Geospatial Engineering: Build robust preprocessing pipelines for raster and vector data (using GDAL, SNAP, rasterio, PostGIS).- Innovation: Integrate emerging technologies, from Geospatial Foundation Models (GeoFMs) to autonomous route planning, into a cohesive operational picture. You Must Be: A master of foundational geospatial: Proven experience building geospatial data preprocessing pipelines (raster and vector) using the modern geospatial stack (GDAL, SNAP, rasterio, PostGIS, etc.). A specialist: You must have production-grade experience in at least two (2) of the following domains:- Traditional GeoAI/ML: Object detection/land classification (scikit, OpenCV, etc.).- Geospatial Foundation Models: Utilizing GeoFMs like AlphaEarth, Prithvi, or Clay.- SAR & Interferometry: Pipeline development (e.g., isce2).- Hyperspectral Imaging: Processing (e.g., SPy).- RF Propagation: Modeling signal data (e.g., CloudRF).- Digital Elevation Models: Handling DEM in multiple formats (e.g., DTED).- Autonomous Systems: Route planning for unmanned systems (e.g., Auterion, ArduPilot).- Optimization: Complex scheduling for satellite constellations or aircraft.- Economics: Models for resource allocation such as auction, bidding, pricing, waiting. Must be a US Citizen Bonus:- Based in the Colorado Springs, CO or Washington, DC (working in customer sites in Crystal City, VA and Herndon, VA) areas- Active Top Secret // Specially Compartmented Information (TS//SCI) clearance with counterintelligence-scope polygraph (CSP) or full-scope polygraph (FSP) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: $185,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. AboutUs: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Data Engineer to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experience across data engineering, distributed systems, event streaming, cloud data frameworks, and mission-focused analytics. The Senior Data Engineer will support complex data integration efforts, collaborate with cross-functional engineering teams, and lead data architecture improvements aligned with operational Navy needs. Responsibilities: • Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics., • Design, develop, and implement data pipelines and analytics for naval applications., • Perform exploratory data analysis, algorithm development, and testing., • Normalize and structure data to common standards for interoperability., • Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC., • Develop and deploy data pipelines and analytics in real-world operational environments., • Deploy, monitor, and optimize data pipelines to ensure high performance and reliability., • Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ., • Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark., • Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS., • Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake., • Work with GIS data using ArcGIS, PostGIS, and related tooling., • Implement containerized environments using Docker or Kubernetes., • Apply cybersecurity principles in the context of secure DoD data applications., • Communicate findings and engineering solutions effectively with technical and mission stakeholders. Required Skills and Experience: • Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages, • 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field., • Willingness to travel, • 100% On Site willingness, • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Ability to operate in a DDIL office environment, • Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with large-scale data architecture across secure DoD or government environments., • Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs., • Experience architecting data solutions across multi-domain or cross-domain systems., • Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments, • Experience with cloud-native data architecture and API design., • Programming experience in Go or Rust., • Proven experience designing, developing, and deploying complex data pipelines., • Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)., • Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ)., • Experience deploying, monitoring, and optimizing operational data pipelines., • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores., • Experience with AWS data services (EFS, RDS, S3, SNS, SQS)., • Experience with distributed computing: AWS Lambda, DASK, Spark., • Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake., • Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS)., • Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints), • Strong analytical and problem-solving skills., • Excellent communication skills in a collaborative team environment., • Previous experience supporting government agencies or military organizations. Education and Certification Requirements: • Equivalent years of relevant experience in lieu of degree., • Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics., • Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS/SCI clearance required Location: • On Site, 1ST SPACE BRIGADE, FORT CARSON, CO Travel: • Up to 15% CONUS, and limited OCONUS if mission requires. Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job Description What You'll be Owning: • Possess 2 or more of the following skill areas:, • Foundations: (Mathematical, Computational, Statistical), • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility), • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations), • Devise strategies for extracting meaning and value from large datasets., • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings., • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations., • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience, • Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university., • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred., • Active TS/SCI w/ poly Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Pay Range$155,000—$185,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job DescriptionSalary: $185,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. AboutUs: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Data Engineer to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experience across data engineering, distributed systems, event streaming, cloud data frameworks, and mission-focused analytics. The Senior Data Engineer will support complex data integration efforts, collaborate with cross-functional engineering teams, and lead data architecture improvements aligned with operational Navy needs. Responsibilities: • Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics., • Design, develop, and implement data pipelines and analytics for naval applications., • Perform exploratory data analysis, algorithm development, and testing., • Normalize and structure data to common standards for interoperability., • Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC., • Develop and deploy data pipelines and analytics in real-world operational environments., • Deploy, monitor, and optimize data pipelines to ensure high performance and reliability., • Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ., • Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark., • Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS., • Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake., • Work with GIS data using ArcGIS, PostGIS, and related tooling., • Implement containerized environments using Docker or Kubernetes., • Apply cybersecurity principles in the context of secure DoD data applications., • Communicate findings and engineering solutions effectively with technical and mission stakeholders. Required Skills and Experience: • Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages, • 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field., • Willingness to travel, • 100% On Site willingness, • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Ability to operate in a DDIL office environment, • Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with large-scale data architecture across secure DoD or government environments., • Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs., • Experience architecting data solutions across multi-domain or cross-domain systems., • Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments, • Experience with cloud-native data architecture and API design., • Programming experience in Go or Rust., • Proven experience designing, developing, and deploying complex data pipelines., • Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC)., • Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ)., • Experience deploying, monitoring, and optimizing operational data pipelines., • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores., • Experience with AWS data services (EFS, RDS, S3, SNS, SQS)., • Experience with distributed computing: AWS Lambda, DASK, Spark., • Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake., • Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS)., • Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints), • Strong analytical and problem-solving skills., • Excellent communication skills in a collaborative team environment., • Previous experience supporting government agencies or military organizations. Education and Certification Requirements: • Equivalent years of relevant experience in lieu of degree., • Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics., • Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS/SCI clearance required Location: • On Site, AIR FORCE TENCAP, COLORADO SPRINGS, CO Travel: • Up to 15% CONUS, and limited OCONUS if mission requires. Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job Description Company Description iMETALX, Inc. is at the forefront of transforming the space industry by providing innovative solutions in space domain awareness (SDA) and in-space servicing, assembly, and manufacturing (ISAM) for both government and commercial customers. Our mission is to make space more accessible and sustainable through advanced technology and an agile, small team approach. As a Data Scientist Intern, you will have the unique opportunity to work alongside experienced engineers and scientists, contributing to critical projects that impact the future of space operations. You will gain hands-on experience in data analysis, algorithm development, and machine learning while helping us derive insights from complex datasets. Role Overview: In this role, you’ll assist in analyzing large datasets to extract meaningful insights that drive decision-making processes. You’ll contribute to developing predictive models, performing statistical analyses, and collaborating with various teams to integrate data-driven solutions into ongoing projects. Hands-on experience with programming languages and tools, a strong analytical mindset, and the ability to communicate findings effectively are essential for success in this internship. Key Responsibilities: • Collect, clean, and analyze large datasets to support project goals and objectives., • Develop predictive models using machine learning algorithms to test hypotheses and uncover trends., • Visualize data and present findings to technical and non-technical stakeholders., • Collaborate with engineering teams to integrate data solutions into systems design and development., • A self-motivated individual with a keen interest in data science and its applications in the aerospace industry., • Strong analytical skills, capable of tackling complex problems with structured thinking., • Proficient in programming languages such as Python, R, or similar tools, and familiar with data manipulation libraries (e.g., pandas, NumPy)., • Ability to communicate technical information clearly and effectively to diverse audiences. Required Qualifications • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field., • Familiarity with data analysis tools and programming languages, with a focus on Python or R., • Basic understanding of machine learning concepts and methodologies., • Strong analytical and problem-solving skills, with an emphasis on attention to detail., • Willingness to work on-site in Sausalito, CA during the internship period., • U.S. citizenship or permanent residency due to ITAR export-control restrictions, as this position may involve export-controlled technology. Preferred Qualifications • Previous internship or project experience in data analysis, machine learning, or a related domain., • Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with statistical analysis methods and frameworks., • Exposure to cloud computing platforms or data processing frameworks.

Job DescriptionSalary: $160,000.00 - $180,000.00 This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role:PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. Responsibilities: • Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output., • Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness., • Design or normalize data to common standards to support interoperability and analytical workflows., • Develop and deploy data pipelines and analytics in real-world applications., • Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC., • Perform exploratory data analysis, algorithm development, and testing., • Deploy, monitor, and improve data pipelines for operational environments., • Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ., • Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality., • Stay current with emerging trends in data engineering, distributed systems, and modern data architecture., • Document data processes, pipeline structures, and engineering best practices. Required Skills and Experience: • Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages, • 3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field., • Willingness to travel, • 100% On Site willingness, • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Ability to operate in a DDIL office environment, • Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with large-scale data architecture across secure DoD or government environments., • Experience supporting NAVWAR, NIWC Pacific, or other Navy programs., • Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning., • Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments, • Experience designing and/or normalizing data to common standards to support interoperability across teams/systems., • Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC), • Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ), • Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar), • Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS), • Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores., • Experience with distributed computing (AWS Lambda, DASK, Spark)., • Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)., • Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints) Education and Certification Requirements: • Equivalent years of relevant experience in lieu of degree, • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics., • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS clearance required, • Active DOD TS SCI preferred Location: • On site, 1ST SPACE BRIGADE, FORT CARSON, CO Travel: • Up to 15% CONUS (and occasional OCONUS if mission requires). Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job DescriptionSalary: $160,000.00 - $180,000.00 This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role:PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions. Responsibilities: • Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output., • Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness., • Design or normalize data to common standards to support interoperability and analytical workflows., • Develop and deploy data pipelines and analytics in real-world applications., • Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC., • Perform exploratory data analysis, algorithm development, and testing., • Deploy, monitor, and improve data pipelines for operational environments., • Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ., • Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality., • Stay current with emerging trends in data engineering, distributed systems, and modern data architecture., • Document data processes, pipeline structures, and engineering best practices. Required Skills and Experience: • Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages, • 3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field., • Willingness to travel, • 100% On Site willingness, • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Ability to operate in a DDIL office environment, • Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with large-scale data architecture across secure DoD or government environments., • Experience supporting NAVWAR, NIWC Pacific, or other Navy programs., • Experience integrating production data pipelines and analytics into operational mission systems, including secure deployment, monitoring, troubleshooting, and performance tuning., • Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments, • Experience designing and/or normalizing data to common standards to support interoperability across teams/systems., • Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC), • Familiarity with event streaming platforms (e.g., Apache Kafka, RabbitMQ, ZeroMQ), • Experience with data pipeline frameworks and libraries (e.g., Apache Airflow, dbt, AirByte, Apache Iceberg, Snowflake or similar), • Experience with geospatial data retrieving and managing GIS data (e.g., ArcGIS, PostGIS), • Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores., • Experience with distributed computing (AWS Lambda, DASK, Spark)., • Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)., • Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints) Education and Certification Requirements: • Equivalent years of relevant experience in lieu of degree, • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics., • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract. Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS clearance required, • Active DOD TS SCI preferred Location: • On site, AIR FORCE TENCAP, COLORADO SPRINGS, CO Travel: • Up to 15% CONUS (and occasional OCONUS if mission requires). Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job DescriptionSalary: $165,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Responsibilities: • Design, develop, and implement machine learning models and algorithms for naval applications., • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments., • Perform data preprocessing, feature engineering, model evaluation, and validation., • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements., • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms., • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn., • Contribute to distributed computing and parallel processing approaches to optimize ML model performance., • Participate in CI/CD pipeline development, automation, and DevSecOps workflows., • Apply cybersecurity principles in the design and deployment of machine learning systems., • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards., • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: • Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer., • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications., • Strong programming skills in Python., • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes)., • Familiarity with software engineering best practices, including Git., • Strong programming skills in Java, C++, Go, or Rust., • Strong analytical, problem-solving, and communication skills., • Ability to work effectively in a collaborative team environment., • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a recurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with distributed computing and parallel processing., • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins)., • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with cloud-native architecture and software API design., • Experience integrating machine learning into operational DoD systems or edge computing environments., • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments., • Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred). Education and Certification Requirements: • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree, • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS clearance required, • Active DOD TS SCI preferred Location: • On site, AIR FORCE TENCAP, COLORADO SPRINGS, CO Travel: • Travel required up to 15% Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job DescriptionSalary: $165,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Responsibilities: • Design, develop, and implement machine learning models and algorithms for naval applications., • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments., • Perform data preprocessing, feature engineering, model evaluation, and validation., • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements., • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms., • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn., • Contribute to distributed computing and parallel processing approaches to optimize ML model performance., • Participate in CI/CD pipeline development, automation, and DevSecOps workflows., • Apply cybersecurity principles in the design and deployment of machine learning systems., • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards., • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: • Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer., • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications., • Strong programming skills in Python., • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes)., • Familiarity with software engineering best practices, including Git., • Strong programming skills in Java, C++, Go, or Rust., • Strong analytical, problem-solving, and communication skills., • Ability to work effectively in a collaborative team environment., • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a recurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with distributed computing and parallel processing., • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins)., • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with cloud-native architecture and software API design., • Experience integrating machine learning into operational DoD systems or edge computing environments., • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments., • Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred). Education and Certification Requirements: • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree, • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS clearance required, • Active DOD TS SCI preferred Location: • On site, 1ST SPACE BRIGADE, FORT CARSON, CO Travel: • Travel required up to 15% Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ