engineering scientist

Presight

<div>
 <p>
  <strong>
   <u>
    About Presight
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Position Overview
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &middot; Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 </p>
 <p>
  &middot; Create code that is elegant and maintainable
 </p>
 <p>
  &middot; Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 </p>
 <p>
  &middot; Work closely with software engineering and product development teams on tech selections and solutions.
 </p>
 <p>
  &middot; When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 </p>
 <p>
  &middot; Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  o Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 </p>
 <p>
  Experience:
 </p>
 <p>
  o 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 </p>
 <p>
  Skills:
 </p>
 <p>
  o Experience in training and evaluating models using TensorFlow and Pytorch
 </p>
 <p>
  o Experience with training large-scale systems on large data sets
 </p>
 <p>
  o Fluent in C/C++ and Python with over 4 years of experience
 </p>
 <p>
  o Track record of shipping working code and solutions based on your contributions
 </p>
 <p>
  o Team player, ability to perform in cross functional teams and to share knowledge to others
 </p>
 <p>
  o Good communication skills in English
 </p>
</div>


Applied Scientist

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 About Presight
 <br/>
 <br/>
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 <br/>
 <br/>
 Position Overview
 <br/>
 <br/>
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
  </li>
  <li>
   Create code that is elegant and maintainable
  </li>
  <li>
   Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
  </li>
  <li>
   Work closely with software engineering and product development teams on tech selections and solutions.
  </li>
  <li>
   When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
  </li>
  <li>
   Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in training and evaluating models using TensorFlow and Pytorch
  </li>
  <li>
   Experience with training large-scale systems on large data sets
  </li>
  <li>
   Fluent in C/C++ and Python with over 4 years of experience
  </li>
  <li>
   Track record of shipping working code and solutions based on your contributions
  </li>
  <li>
   Team player, ability to perform in cross functional teams and to share knowledge to others
  </li>
  <li>
   Good communication skills in English
  </li>
 </ul>
</div>


Lila Sciences

<div>
 <strong>
  Your Impact at Lila
  <br/>
  <br/>
 </strong>
 As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila&rsquo;s scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems.
 <br/>
 <br/>
 <strong>
  What You'll Be Building
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis.
  </li>
  <li>
   Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems).
  </li>
  <li>
   Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data.
  </li>
  <li>
   Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability.
  </li>
  <li>
   Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD or equivalent experience in Chemical Engineering, Industrial Engineering, Systems Engineering, or a closely related field.
  </li>
  <li>
   Research experience in method development for process engineering, a strong publication record in this area or established industry experience
  </li>
  <li>
   Hands-on experience with process simulation and optimization tools (commercial or open-source), including steady-state and dynamic modeling.
  </li>
  <li>
   Proficiency in Python and scientific/engineering computing ecosystems
  </li>
  <li>
   Experience integrating external engineering tools or simulators into automated workflows via APIs, scripting interfaces, or custom wrappers.
  </li>
  <li>
   Familiarity with distributed systems, HPC environments, cloud platforms, or scalable compute infrastructure.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience developing or integrating agentic frameworks, autonomous planners, or multi-step tool-using AI systems for engineering or scientific domains.
  </li>
  <li>
   Experience building computational pipelines, automation systems, or tool-use frameworks for complex engineering or scientific workflows.
  </li>
  <li>
   Experience with digital twins, real-time optimization, or model-predictive control frameworks.
  </li>
  <li>
   Background in techno-economic analysis (TEA), life-cycle assessment (LCA), or sustainability-driven process design.
  </li>
  <li>
   Contributions to open-source engineering software, ML infrastructure, workflow engines, or agent frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Lila
  <br/>
  <br/>
 </strong>
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 <br/>
 <br/>
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 <br/>
 <br/>
 <strong>
  We&rsquo;re All In
  <br/>
  <br/>
 </strong>
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 <br/>
 <br/>
 <strong>
  A Note to Agencies
  <br/>
  <br/>
 </strong>
 <em>
  Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
  <br/>
  <br/>
 </em>
 CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 <br/>
 <br/>
 Expected Base Salary Range: $176,000 USD - $304,000 USD
</div>


Research Scientist I/II, AI for Process Engineering

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539216</div><br>
<p><b>WORK TYPE:</b></p>
<div>Tenure-Track Faculty</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Health Care Administration/Support, Medicine/Physicians</div><br>
<p><b>DEPARTMENT:</b></p><div>
29080100 - MD-PATHOLOGY-GENERAL</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div> <div>Assistant Scientist</div>
</div><br>
<div><div><b>CLASSIFICATION MINIMUM REQUIREMENTS:</b></div>
<div>
<p>A PhD in biology, biomedical science, biomedical engineering or other related engineering field, cardiovascular or science</p></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Assistant Scientist will join a highly interactive and collaborative research team to study the effects of drugs of abuse and HIV infection on the vasculature. The Assistant Scientist must be willing to work on several different projects involving infectious agents, drugs of abuse, and microfluidic models of the vasculature (lung, salivary glands, larynx, aorta, barriers of the CNS). In addition, the Assistant Scientist will be in charge of proper record keeping of methodology, experimental plan, results etc. It is also expected that the scientist will analyze data, perform analyses, present results, and prepare data for publication. The successful candidate will be encouraged to facilitate collaborative research efforts with other laboratories and to train laboratory personnel (including students) in research methods, procedures, and equipment.</p></div><br>
</div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>$80,000</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div><ul><li>Highly motivated individual capable of working independently or as part of a team.</li>
<li>Proficient in standard lab/office equipment and software, including MS Office.</li>
<li>Willingness to work with infectious agents.</li>
<li>Experience with cell culture and animal models</li>
<li>Strong written and oral communication skills.</li>
<li>Demonstrate organizational skills with the ability to handle multiple tasks.</li>
<li>Ability to keep accurate records of research performed to NIH standards.</li>
<li>Ability to interact with collaborators, which includes students, faculty, and staff.</li>
</ul>
</div></div><br>
<div><div><b>PREFERRED:</b></div> <div>Experience with endothelial cells, computer-aided design modeling and software, microfluidic models, and microscopy</div>
</div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>In order to be considered, you must upload your cover letter and resume.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p>
<p>
Applicants should apply online @ jobs.ufl.edu, and include a curriculum vitae, a letter outlining interests, and three letters of reference. The letters may also be sent directly to Dr. Allison Andrews, (andrews.allison@ufl.edu), Search Committee Chair, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, and copy Stacey Oliver (oliversl@ufl.edu ).</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>Yes</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>19 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>03 Apr 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Assistant Scientist

Piper Companies

<div>
 <strong>
  Piper Companies is seeking a Data Scientist to join a highly technical Data and AI organization supporting a large-scale global payments environment.
 </strong>
 This role will focus on building advanced data science and machine learning solutions that translate complex data into actionable, revenue-driving insights. The Data Scientist will work closely with business, product, and engineering teams to design, test, and deploy models into production systems. The Data Scientist position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied research.
 <strong>
  This role is onsite or hybrid in Charlotte NC
 </strong>
 based on business needs. Must be authorized to work in the US without sponsership.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Frame complex business problems using advanced data science, statistical modeling, and machine learning techniques
  </li>
  <li>
   Design, build, and deploy scalable machine learning pipelines and production-level models
  </li>
  <li>
   Develop and test models across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing
  </li>
  <li>
   Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact
  </li>
  <li>
   Own critical research initiatives and application development efforts from concept through production
  </li>
  <li>
   Run large-scale experiments and A/B tests to evaluate and improve model performance
  </li>
  <li>
   Contribute to cross-team collaboration and help advance overall data science capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
  </li>
  <li>
   3 or more years of experience translating mathematical models and algorithms into production-ready code
  </li>
  <li>
   Strong programming experience in Python and Kfka and or C++
  </li>
  <li>
   Solid foundation in probability, statistics, and applied machine learning
  </li>
  <li>
   Hands-on experience with areas such as NLP, time-series analysis, and Generative AI
  </li>
  <li>
   Prior experience working in a highly technical, data-driven research or engineering environment
  </li>
  <li>
   Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
  </li>
  <li>
   Must be authorized to work in the United States
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $115.000 -$135,000 annually
  </li>
  <li>
   Comprehensive benefits package including medical, dental, vision, and 401(k) options
  </li>
  <li>
   Paid time off and paid holidays
  </li>
 </ul>
</div>


Data Scientist

Tekla Research, Inc.

<p>Desired Functions: Data Engineer and Analysis Liaison, Computer/Data Scientist, System Analyst, or Engineer, Junior level.<br>
<br>
Works for the Data Division under the NAVAIR Mission Systems Test and Evaluation Department (MSTED), physically recovering data storage devices at the end of test events, downloading, formatting, confirming data integrity, storing in proper locations, communicating with and coordinating with different test teams, and as directed filtering or running analysis tools.<br>
<br>
A bachelor's degree is not required for this position.<br>
<br>
Engineering Technician/Junior Level:<br>
Perform standardized or prescribed assignments involving a sequence of related operations, follow standard work methods/processes/instructions on recurring assignments. Extract engineering data from various prescribed but non-standardized sources, processing the data following well-defined methods, and presenting the data in prescribed form.<br>
<br>
Computer Scientist/Junior Level:<br>
Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.<br>
<br>
Data Scientist/Junior Level:<br>
Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to the data science lifecycle. Work also involves the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. The primary requirements of the work are applying<br>
professional knowledge of computer science and mathematical and statistical theories, techniques, and methods to gather, analyze, design and construct new processes for modeling, interpret, and/or report quantitative information, trends, relationships and<br>
correlations among or within data sets.<br>
<br>
System Analyst/Junior Level:<br>
Applies knowledge of analytical methodologies, management principles, hardware and software systems structures and operation, and aircraft systems or requirements to solve project problems. Addresses scientific, engineering or business objectives and interfaces with project teams to address project objectives. Independently uses mathematical and programmatic approaches to define, plan, organize, design, develop, modify, test, and integrate systems.<br>
Directly researches unconventional applications for designing and developing new methodologies, modifications, or adaptations of standardized techniques. Directly develops project plans, guidelines, and controls. May manage and supervise contractor personnel providing this function.<br>
<br>
Engineer/Junior Level:<br>
Perform engineering duties in designing, constructing, and testing aircraft, missiles, and spacecraft. May conduct basic and applied research to evaluate adaptability of materials and equipment to aircraft design and manufacture. May recommend improvements in testing equipment and techniques. Possible Functional Descriptions Aerospace, Chemical, Electrical, Electronics, Industrial, Materials, Mechanical Engineers and All Others<br>
<br>
<b>Benefits:</b><br>
Medical, Dental, &amp; Vision Plan, short- and long-term disability, accidental death &amp; dismemberment, 401K retirement &amp; matching, Tuition assistance program, direct deposit, leave package and 11 paid federal holidays.<br>
<b>Salary:</b><br>
The projected salary range for this position is $60,000-$100,000; however, this is not a guarantee of salary. Salary will be set based on education, experience and contractual requirements.</p>

MQ-9/T-45/CH-53 Data Lab Technician

Full Visbility

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Date Opened</p>
<div>03/18/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>City</p>
<div>Huntsville
</div></div><div><p>State/Province</p>
<div>Alabama
</div></div><div><p>Country</p>
<div>United States
</div></div><div><p>Zip/Postal Code</p>
<div>35801
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</div><div></div><div><br>
With offices in the National Capital Region, Quantico, VA, and Huntsville, AL - we deliver critical technical solutions to various federal government agencies and departments.</div>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>Full Visibility is seeking a <b>Data Scientist/Data Engineer</b><b> </b>to work in Huntsville, AL. Candidate <i>must </i>possess an <i>active </i><b>Top</b><b> </b><b>Secret</b><b> </b>clearance.</p><p><br>
The Data Scientist/Data Engineer will be responsible for reviewing data sets of many different types, identifying trends in the data, and finding methods for other users of the system to do a basic review of the data. The successful candidate will provide end-users a better understanding of what they are reviewing, and help by teaching small groups of users, creating FAQ pages, and/or creating example documentation of best practices for data review. The Data Scientist/Engineer will help show the deficiencies in the currently available software and suggest changes so that end-users can more easily access the data that is most important to them. The successful candidate will collaborate and coordinate with the software developers.</p><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li> Active Top Secret Clearance</li><li><br>
 At least two (6+) years of experience as a data scientist or data engineer</li><li><br>
 Experience working in a position where data is aggregated in order to conduct large-scale analysis</li><li><br>
 Experience working with different data sets and kinds of data</li><li><br>
 Knowledge of and experience working with pivot tables and graph analytics (such as Kibana) and the ability to train others on their use</li><li><br>
 Ability to assist end-users with questions related to data</li><li><br>
 Ability to provide technical documentation, user guides, instructional information, and technical support related to the data</li><li><br>
 Excellent communication skills with the ability to communicate with others with varying levels of technical knowledge</li><li><br>
 Bachelor&rsquo;s degree in computer science, engineering, information systems, or related field OR in place of a degree, an additional six (6) years of specialized work experience as a data scientist or data engineer</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><p><b>
About Full Visibility</b></p><p><br>
Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</p><p><br>
Our technologists are recognized as industry leaders with demonstrated expertise in innovating and transforming our client environments in support of national security and law enforcement. Headquartered in Tysons, VA &ndash; with locations in Chantilly, VA, Quantico, VA, and Huntsville, AL &ndash; we have specialized experience supporting sensitive missions and an understanding of the niche skillsets required to overcome challenges in these environments. Our clients benefit from an enthusiastic and reliable team of talent with high employee morale and retention based on our <b><i>FULL EMPLOYEE</i></b> approach where each employee&rsquo;s professional and personal well-being is considered. Our focus on employee development, success, and morale is demonstrated by our consecutive top ranking as the <i>Best Place to Work</i> by the Washington Business Journal as a ten-time honoree. Full Visibility has also been included on the Inc. 5000 <i>Fastest-Growing Private Companies in America</i> list eight times since 2014.</p><p><br>
Full Visibility currently has over 20 active contracts with 100 billable staff supporting 21 clients in the Intelligence and Law Enforcement communities. As part of our commitment to partnerships, we are teammates with 13 prime contract holders. Additionally, Full Visibility holds contracts on several vehicles, such as GSA Multiple Award Schedule (MAS), DISA SETI (as IE TEK JV member), DIA SITE III, HCaTS, as well as several classified vehicles. Our portfolio includes experience serving the Department of Defense, Department of Homeland Security, Department of Justice, and Department of Veterans Affairs, as well as commercial clients.</p><p><br>
Contact careers@fullvisibility.com for any questions or concerns related to this position or our company.</p><p><br>
To review our company benefit offerings please visit https://www.fullvisibility.com/benefits.</p></div></div></div><p></p>

Data Scientist/Data Engineer

Search 10000+ Engineering scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 engineering scientist jobs Near Me

Applied Scientist

Applied Scientist

Research Scientist I/II, AI for Process Engineering

Assistant Scientist

Data Scientist

MQ-9/T-45/CH-53 Data Lab Technician

Data Scientist/Data Engineer