Jobs at IT-SCIENT

This contingent full-time Senior Scientist role supports the Customs and Border Protection Air and Marine Operations Center in Riverside, California, focusing on C4I systems and ISR capabilities. The position involves applying advanced scientific methods to evaluate operational data, developing predictive models and simulations for mission decision-making, and analyzing sensor inputs to enhance threat detection and situational awareness. Key responsibilities include collaborating with engineering teams to integrate analytical solutions, validating new tools, and providing technical briefings to government stakeholders. The role appeals to professionals seeking to apply their expertise in high-tempo, mission-critical environments with opportunities for professional development and a comprehensive benefits package. An active Secret clearance is required, and the position is contingent upon contract award with a tentative start date in September 2026.

The Lab Manager role at Harris-Stowe State University supports a grant-funded research team investigating how light pollution affects pregnancy and reproductive physiology. Key responsibilities include training undergraduate researchers, managing daily laboratory operations, conducting experiments on biological samples, and ensuring compliance with safety and ethical guidelines. The position offers the opportunity to work within a diverse, historically Black institution located in vibrant St. Louis, contributing to meaningful scientific discovery in neuroscience and chronobiology. This role appeals to candidates seeking a collaborative environment where they can mentor students, develop new research protocols, and engage in interdisciplinary work while supporting the university's mission to serve a culturally diverse student body.

This seasonal field coordinator role supports NASA's Long Duration Balloon operations at a remote facility on the Ross Ice Shelf in Antarctica. The position involves managing facility maintenance, ensuring safety protocols, coordinating logistics for scientific launches, and serving as the primary on-site contact during the 16 to 20-week deployment. Key responsibilities include snow grooming, equipment inspections, inventory tracking, and assisting with payload recoveries in harsh polar conditions. The role appeals to candidates seeking a unique mission-driven career with the National Science Foundation, offering the opportunity to contribute to world-class scientific research in an extreme environment. Success requires physical resilience, teamwork in isolation, and the ability to work irregular hours while maintaining a safe workplace.

The Quality Inspector role at Leidos Electronics Manufacturing supports the defense and aerospace sectors by ensuring hardware and systems meet rigorous standards. The position involves inspecting components and assembled parts, interpreting assembly instructions, and conducting internal AS9100 audits. Key responsibilities include documenting non-conformances and leading root cause investigations to maintain quality integrity. This opportunity appeals to candidates seeking to contribute to high-impact missions in hypersonics and launchers within a collaborative, multi-disciplinary team environment. The role is based on-site in North Alabama and requires availability for second shift work.

The University of Hawai'i at Hilo seeks an Assistant Professor of Geology for a tenure-track role within the College of Natural and Health Sciences. The position focuses on integrating place-based teaching and research in surface processes, hydrogeology, or environmental geology. Key responsibilities include instructing introductory and upper-level geology courses, mentoring undergraduate and graduate students in research, and developing a scholarly program that leverages the island's unique geological environment. The role appeals to candidates interested in a collaborative liberal arts setting with small class sizes, access to specialized laboratories, and opportunities to engage with local community and government partners. The position is based on the Island of Hawai'i and offers a supportive culture that values Indigenous knowledge systems and environmental stewardship.

This full-time Principal Scientist role focuses on leading R&D for passive RF emitter identification and network analysis within a small, distributed team. The position requires a senior technical authority to independently conduct hands-on data analysis using Python on resource-constrained tactical edge hardware without cloud access. Key responsibilities include formulating research hypotheses, developing analytical code, validating AI/ML outputs, and serving as the primary advisor to government sponsors. The role appeals to experts seeking to apply advanced signal processing and machine learning skills in a mission-critical environment with minimal supervision. Candidates will work remotely while maintaining a Public Trust security clearance, contributing to high-impact research that bridges complex technical findings with operational requirements.

This entry-level position targets recent Computer Science or IT graduates seeking to transition into data science or engineering roles within a remote work environment. The role focuses on building production-ready skills by applying knowledge of data analytics, machine learning, and modern development stacks to real-world scenarios. Key responsibilities include developing data pipelines, analyzing complex datasets, and collaborating on software solutions that deliver immediate business value. The opportunity is appealing due to its structured pathway designed to bridge the gap between academic theory and industry expectations, offering mentorship to help candidates build a robust portfolio and gain interview confidence. The position supports long-term career growth by aligning with high-demand technology lanes and providing a clear route to full-time employment at major organizations.

This Data Scientist 3 role supports a critical NLP project focused on automatic tokenization and part-of-speech annotation for government language data. The position requires developing automated solutions to evaluate model performance against human-generated annotations and extracting value from large, complex datasets. Key responsibilities include designing machine learning algorithms, performing statistical analysis, and translating technical findings into actionable recommendations for non-technical audiences. The role appeals to candidates seeking to apply advanced data science skills in a mission-driven environment with a focus on high-quality language processing. An active TS/SCI security clearance is required, and the position involves working with government data holdings to advance analytic capabilities.

This full-time Data Scientist role at Peraton supports national security missions by analyzing complex data sets to derive actionable insights for government agencies and the armed forces. The position requires an active TS/SCI clearance and involves conducting statistical analysis, developing machine learning models, and building predictive systems using Python, R, and SQL. Key responsibilities include managing disparate data sources, creating visual narratives with tools like Power BI and Tableau, and automating processes to enhance operational efficiency. The role appeals to professionals seeking to solve high-impact challenges in a collaborative environment that values critical thinking and innovation. Candidates will work within a team dedicated to protecting the nation across land, sea, space, air, and cyberspace.

This expert-level Data Scientist role at Altamira Technologies supports the U.S. National Security community by developing innovative data solutions for defense and intelligence operations. The position involves conducting advanced statistical analysis, building machine learning tools like recommendation engines, and creating visual narratives to drive informed decision-making. Key responsibilities include managing disparate data sources, applying geospatial scientific principles, and utilizing languages such as Python and R to automate processes. The role is appealing due to the opportunity to work on high-impact projects within a culture that values self-motivated talent and professional growth. Candidates must hold an active TS/SCI clearance and are based in McLean, Virginia, with potential for collaboration across the defense and intelligence sectors.

This Data Scientist role at Booz Allen involves transforming complex structured and unstructured data into actionable insights to address global challenges across sectors like healthcare, intelligence, and fraud detection. The position focuses on developing predictive models, deploying machine learning and natural language processing techniques, and collaborating with clients to solve real-world problems using cloud platforms and statistical programming. The opportunity appeals to candidates interested in leveraging IoT and AI for social good within a people-first culture that values collaboration and professional growth. The work arrangement is flexible, offering remote, hybrid, or onsite options depending on specific project needs, with an expectation of virtual engagement through video conferencing.

This Data Scientist role at Booz Allen involves transforming complex structured and unstructured data into actionable insights for clients across private and public sectors, including areas like fraud detection and national intelligence. Key responsibilities include developing predictive models and algorithms, performing data cleansing and mining, and utilizing tools such as Python, AWS, and visualization libraries to solve global challenges. The position appeals to candidates passionate about leveraging IoT, machine learning, and AI for social good, offering a collaborative people-first culture with flexible work arrangements that may include remote, hybrid, or onsite options depending on client needs. A Secret clearance is required to access classified information.

This mid-level Data Scientist role at Booz Allen involves transforming complex structured and unstructured data into actionable insights for clients in both private and public sectors. Key responsibilities include developing predictive models and machine learning algorithms, performing statistical analysis, and creating data visualizations to solve global challenges ranging from fraud detection to national intelligence. The position appeals to candidates passionate about leveraging IoT and AI for social good, offering a collaborative culture that supports professional growth through tuition assistance and recognition programs. While the work arrangement varies by project, opportunities exist for remote, hybrid, or onsite collaboration, with a requirement to obtain a Secret clearance.

This full-time Data Scientist role at the SEI leverages advanced statistics, machine learning, and AI to solve complex cybersecurity challenges for government and industry clients. The position involves collaborating with elite professionals to identify analytical opportunities, develop prototype solutions, and build final products in areas such as generative AI, computer vision, and large language models. Key responsibilities include co-authoring research proposals, executing studies, and presenting findings to sponsors and at academic conferences. The role offers the appeal of influencing national cybersecurity strategy for decades while working within a collaborative, multi-disciplinary environment. Candidates must be willing to travel modestly and obtain a security clearance. The position is based in Arlington, VA, or Pittsburgh, PA, and provides access to comprehensive benefits, professional growth opportunities, and a supportive campus culture.

This mid-level Data Scientist role at Booz Allen focuses on leveraging IoT, machine learning, and artificial intelligence to solve complex global challenges across private and public sectors. The position involves collaborating with clients to analyze large-scale structured and unstructured datasets, developing algorithms, and building systems that transform disparate data points into actionable insights. Key responsibilities include applying statistical methods and programming skills in Python or R to drive decision-making in areas such as fraud detection and national intelligence. The role is appealing for its mission-driven culture that emphasizes using data science for good, offering opportunities for professional growth and meaningful impact. Candidates must hold a TS/SCI clearance with a polygraph, and the work arrangement varies between remote, hybrid, or onsite depending on specific project requirements.

This full-time Data Scientist role at Apple focuses on leading algorithm evaluation and performance intelligence for next-generation intelligent systems within a highly visible technical team. Key responsibilities include defining evaluation strategies and scalable metrics frameworks, conducting deep technical investigations into model behavior and failure patterns, and designing automated pipelines to assess system robustness. The position uniquely emphasizes leveraging agentic systems and AI-assisted workflows to enhance analysis efficiency and drive product decisions. The role appeals to candidates seeking to influence critical technical directions in a collaborative environment that values rigorous statistical analysis and innovation in machine learning quality assurance.

This mid-level Data Scientist role at Booz Allen focuses on leveraging machine learning, artificial intelligence, and IoT to solve complex global challenges across private and public sectors. The position involves analyzing structured and unstructured data to build predictive models, develop algorithms, and create visualizations that drive informed client decisions. Key responsibilities include leading solution development for diverse programs, collaborating directly with clients to define analytical needs, and translating disparate data points into actionable insights. The role offers the appeal of meaningful work with a mission to use data science for good, supported by a people-first culture that values collaboration and professional growth. While the position allows for remote or hybrid work arrangements, it requires up to 25% travel and the ability to obtain a Secret clearance.

This full-time Data Scientist role supports a large Federal agency by delivering advanced analytics to optimize contact center and field office operations. The position involves designing predictive models for workforce management, building robust data pipelines for complex datasets, and collaborating with stakeholders to present strategic insights to executive leadership. The role offers a hybrid work arrangement in Woodlawn, MD, within a supportive culture that prioritizes professional growth through education reimbursement and continuous development. Candidates will join a recognized, fast-growing company known for its collaborative environment, commitment to innovation, and focus on making a positive community impact.

This Data Scientist role at Booz Allen involves building advanced technology solutions and implementing data engineering activities for mission-driven projects. The position focuses on developing scalable data pipelines, creating ETL/ELT workflows, and processing structured and unstructured data to support business analysis. Candidates will collaborate with a multi-disciplinary team in a fast-paced, agile environment to design and maintain platforms that make disparate data meaningful. The role appeals to those seeking professional growth through exposure to cutting-edge tools like Palantir Foundry and opportunities to work on impactful defense and government initiatives. The work arrangement offers flexibility with remote, hybrid, or onsite options depending on specific project needs, supported by a people-first culture that values collaboration and continuous learning.

This senior data scientist role at Booz Allen involves leading data science initiatives to solve complex global challenges across private and public sectors using IoT, machine learning, and artificial intelligence. Key responsibilities include performing data exploration and mining with Python, R, or SQL, developing predictive models for activity-based intelligence, and guiding teams to translate disparate data into actionable client insights. The position offers the appeal of working on high-impact projects ranging from fraud detection to national intelligence within a people-first culture that values collaboration. While the work arrangement varies by project, opportunities exist for remote, hybrid, or onsite engagement, often requiring a Top Secret clearance.

The Data Scientist II role focuses on Generative AI within a pioneering team dedicated to transforming raw data into actionable intelligence and scalable agentic systems. Key responsibilities include designing and implementing Gen AI-powered agents to streamline workflows, optimizing internal evaluation frameworks for reliable model performance, and leading experiments to balance efficiency with cost. The position offers the opportunity to mentor junior staff, collaborate across engineering and product functions, and drive cultural adoption of AI tools. This role is appealing for its focus on cutting-edge technology, the chance to shape organizational innovation, and a supportive environment that values continuous learning and advanced technical growth.

This full-time Data Scientist Level 3 role supports a Department of Defense client in Suitland, Maryland, within a high-performing science team. The position focuses on applying advanced machine learning, deep learning, and natural language processing to build sophisticated data models. Key responsibilities include leading and mentoring junior data scientists, deploying projects on cloud platforms like AWS and Azure, and establishing metrics to evaluate AI performance while adhering to responsible AI policies. The role offers up to 10% local travel and requires a TS/SCI clearance. It is appealing due to CACI's culture of integrity and trust, which provides autonomy through flexible time off and robust learning resources. The position emphasizes continuous career growth and the opportunity to contribute to critical national missions alongside a collaborative, mission-driven environment.

This role within Apple's Services Finance Data Science and Engineering team focuses on building and optimizing financial data platforms to support product innovation. The position involves partnering with business stakeholders to translate complex requirements into data-driven solutions, utilizing AI coding assistants and agentic frameworks to rapidly prototype and deploy analytical models. Key responsibilities include designing scalable analytics pipelines, conducting rigorous statistical analysis, and creating self-serve dashboards that empower decision-making. The role appeals to candidates who thrive in a collaborative culture of excellence and offers the opportunity to work with cutting-edge AI tools to accelerate delivery. The position requires a strong background in Python, SQL, and machine learning, with a focus on shipping production-ready solutions in a dynamic environment.