data scientist

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Parsons is looking for an amazingly talented <b>Senior Data Scientist / AI Specialist (Palantir &ndash; Foundry) </b>to join our team! The Air Force Mission Assurance (MA) Construct Support Team requires highly specialized technical, analytical, and investigative support services. In this role you will get to execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform. You will provide data platform enablement and analytical support to ensure that MA business process workflows are scalable, maintainable, and decision-relevant.</p><p></p><p><b>
What You'll Be Doing:</b></p><ul><li><p>
Will execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform, specifically focusing on making the process of entering data as intuitive and efficient as possible for users, ensuring accurate data capture and minimizing errors</p></li><li><p>
Maintain documentation, training materials, and knowledge transfer processes to support Air Force personnel.</p></li><li><p>
Provide ongoing system maintenance, enhancement, and performance optimizations</p></li><li><p>
Capability development, integration with DoD MA systems and Dept of AF Data Fabric systems to ensure USAF MA Enterprise data system of record capabilities are maintained.</p></li><li><p>
Work with the requirement business owners to understand needs and translate requirements into technical specifications and deliverables.</p></li><li><p>
Analytical Support to Mission Assurance Activities</p></li><li><p>
Enterprise Platform Coordination and Advocacy Support</p></li><li><p>
Data Architecture Review, Evolution, Stewardship, and Process Support</p></li><li><p>
Workflow Data Platform Enablement, Sustainment, and Automation</p></li></ul><p></p><p><b>
What Required Skills You'll Bring:</b></p><ul><li><p>
Active Top Secret/SCI security clearance</p></li><li><p>
10+ years of related experience and a Bachelors Degree or equivalent work experience</p></li><li><p>
Apply advanced analytics, AI/ML, and statistical methods to derive insights from complex mission data sets, including design, development, evaluation, and application of AI- and ML-based analytical methods to support MA use cases.
</p></li><li><p>Translation of analytical and AI-driven insights into decision-relevant products for senior leaders and MA stakeholders.</p></li><li><p>
Ability to implement, sustain, and scale MA data workflows, analytical models, and decision-support tools</p></li><li><p>
Align MA data workflows with evolving MA processes, governance requirements, and decision-support needs</p></li><li><p>
Configure Government-directed data platform capabilities to enable MA data analysis, monitoring, reporting, and automation</p></li><li><p>
Implement, sustain, and continuously improve MA&ndash;related business process workflows, including coordination workflows, governance preparation workflows</p></li><li><p>
Experience working in Palantir Foundry&rsquo;s data integration and platform application</p></li></ul><p><b><br>
What Desired Skills You'll Bring:</b></p><ul><li><p>
Foundry Application Developer certification</p></li></ul><p></p><p><b>
Security Clearance Requirement:</b></p>
None<p></p>
This position is part of our Federal Solutions team.<p></p>
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.<p></p>
Salary Range: $125,100.00 - $225,200.00<p></p>
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!<p></p>
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.<p></p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Senior Data Scientist and AI Specialist

cFocus Software Incorporated

<div>cFocus Software seeks a Mission Data Scientist to join our program supporting the Defense Intelligence Agency (DIA). This position is on site in the Washington DC, MD, &amp; VA area. This position requires a TS/SCI + CI Polygraph clearance.<br>
<b>Qualifications:</b><ul><li>
Active TS/SCI + CI Polygraph clearance</li><li>
Master's degree in Data Science, Statistics, Mathematics, or related field with 4-12+ years of experience in data science</li><li>
Proficient in statistical analysis, machine learning, and data visualization</li><li>
Strong programming skills in Python or R</li><li>
Experience with .data science tools and platforms (Jupyter, pandas, scikit-learn)</li><li>
Understanding of intelligence community data and analytical methods</li></ul><br>
<b>
Duties:</b><ul><li>
Applies advanced analytics, statistical modeling, and data science techniques to intelligence data.
</li><li>Develops predictive models, conducts exploratory data analysis, and extracts actionable insights from complex datasets.
</li><li>Utilizes statistical software and programming languages (Python, R) to analyze structured and unstructured data.
</li><li>Collaborates with intelligence analysts and mission partners to understand analytical requirements.
</li><li>Communicates findings through data visualizations and reports.
</li><li>Applies domain knowledge to intelligence problems</li></ul>
<p></p><p>uizZJcBKb9</p></div>

Mission Data Scientist - TS/SCI + CI Polygraph Required

SAIC

<div><p>Job ID: 2613789</p><p><b>
Location: </b>Washington, DC, US</p><p><b>
Date Posted: </b>2026-06-17</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>Secret</p><p><b>
Clearance Level Must Be Able to Obtain: </b>None</p><p><b>
Potential for Remote Work: </b>ORA_HYBRID</p><p><b><br>
Description</b>
</p><p>We are seeking an Enterprise Data and AI Solutions Scientist to join our Hyperautomation team. This role is designed for an analytically curious and technically versatile &ldquo;data hunter&rdquo; who thrives when the required data source, system, field, or solution has not yet been identified.</p><p>
The successful candidate will lead investigative data-discovery efforts across enterprise platforms, determine where relevant information resides, evaluate its reliability, correlate records across disparate systems, and translate findings into repeatable analytics, AI-enabled data-enrichment capabilities, and automated workflows.</p><p>
This position goes beyond querying known datasets or producing predefined reports. It requires someone who can take an ambiguous business objective, investigate multiple enterprise systems, identify relationships among incomplete or conflicting datasets, and develop an evidence-based approach to solving the problem. This individual will bridge the gap between raw enterprise data, intelligent data enrichment, and automation.</p><p><b>
What You Will Bring to the Team</b></p><p>
You are more than a reporting specialist or traditional data scientist. You are comfortable beginning with an unanswered question, navigating unfamiliar enterprise systems, testing</p><p><b>
This role is hybrid and reports onsite in Washington, DC at least 1 day a week and as required for meetings, testing or other gov activities as directed by their lead.</b></p><p><b>
Key Responsibilities:</b></p><ul><li><b>
Investigative Data Discovery:</b> Lead data-hunting and investigative analytics efforts in support of complex business, operational, security, and hyperautomation use cases.</li><li><b>
Platform Exploration</b>: Investigate enterprise platforms, particularly Splunk and ServiceNow, to identify relevant indexes, sourcetypes, tables, fields, APIs, relationships, and authoritative data sources.</li><li><b>
Data Correlation and Reconciliation</b>: Identify correlation keys across disparate systems, including configuration-management, endpoint, identity, asset, and operational data. Develop methods for reconciling incomplete, inconsistent, duplicated, or conflicting records.</li><li><b>
Advanced Querying and Scripting:</b> Develop and optimize searches, queries, scripts, and analytical workflows using SPL, SQL, Python, REST APIs, and related data-retrieval technologies.</li><li><b>
AI-Driven Data Enrichment</b>: Use approved AI and Generative AI capabilities, including prompt-based APIs, to normalize data, extract attributes, and generate missing data points from available record-level context. Examples may include using known IT asset manufacturers and models to determine or infer lifecycle attributes such as End of Life or End of Support.</li><li><b>
AI Output Validation: </b>Evaluate AI-generated attributes for accuracy, consistency, and business usability. Clearly distinguish authoritative source data from inferred or generated information and document supporting evidence, confidence, and known limitations.</li><li><b>
Automation Integration: </b>Partner with RPA, workflow, and data-engineering teams to convert successful analytical discoveries and enrichment processes into repeatable, governed, and sustainable enterprise capabilities.</li><li><b>
Solution Design:</b> Help determine whether a use case is best addressed through data engineering, API integration, business-process automation, robotic process automation, AI-enabled enrichment, or a hybrid approach.</li><li><b>
Prototyping and Communication:</b> Develop prototypes, proofs of concept, dashboards, and visualizations. Communicate findings, data limitations, technical risks, and recommendations to both technical teams and senior leadership.</li></ul><p><b>
Core Competencies:</b></p><ul><li><b>
Investigative Curiosity:</b> A persistent drive to explore unfamiliar systems and data structures until a defensible answer or path forward is identified.</li><li><b>
Systems Thinking:</b> The ability to understand how data flows across applications, infrastructure, identity systems, assets, and business processes.</li><li><b>
Evidence-Based Discipline:</b> A rigorous approach to validating conclusions, documenting data lineage, and distinguishing authoritative, derived, and AI-generated information.</li><li><b>
Solution Orientation:</b> The ability to turn one-time discoveries into reusable, scalable, and supportable enterprise capabilities.</li><li><b>
Consultative Communication:</b> The ability to translate complex data findings into clear, actionable recommendations for technical and business stakeholders.</li></ul><p><b>
Illustrative Use Cases:</b></p><ul><li>
Correlating security, endpoint, identity, asset, and service-management data across Splunk, ServiceNow, and other platforms to identify vulnerable, unsupported, or untracked enterprise assets.</li><li>
Sending known asset attributes, such as manufacturer, model, product family, and software version, to an approved AI service to generate missing lifecycle information, including estimated End-of-Life and End-of-Support dates.</li><li>
Using AI to normalize inconsistent manufacturer names, product models, application titles, organizational values, and other records that cannot be reliably standardized through static rules alone.</li><li>
Validating AI-generated data against available evidence, documenting the basis for each determination, and flagging low-confidence or conflicting results for human review.</li><li>
Mapping a manual data-gathering and reconciliation process and redesigning it as an automated pipeline using Databricks, APIs, ServiceNow, Splunk, Power Automate, or RPA technologies.</li></ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Required Education &amp; Experience:</b></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related technical discipline and at least 2-5 years of relevant professional experience. Equivalent practical experience may be considered in lieu of a degree.</li><li>
Demonstrated experience conducting data discovery or investigative analytics when the required data sources, fields, or technical approach were not predefined.</li><li>
Hands-on Splunk experience, including SPL development, index and sourcetype discovery, field analysis, lookups, joins, and cross-source data correlation.</li><li>
Hands-on experience navigating and querying ServiceNow data structures, including CMDB, asset, operational, or related enterprise tables and APIs.</li><li>
Strong proficiency in SQL and Python for data retrieval, manipulation, integration, and analysis.</li><li>
Experience working with REST APIs, JSON, and structured or semi-structured data.</li><li>
Practical experience using AI, Generative AI, or prompt-based services to extract, classify, normalize, infer, or enrich enterprise data.</li><li>
Experience evaluating and validating generated or inferred data before incorporating it into analytics, reporting, or operational processes.</li><li>
Ability to work independently in ambiguous environments, formulate and test hypotheses, and adapt based on emerging findings.</li><li>
Strong analytical, problem-solving, documentation, and technical communication skills.</li></ul><p><b>
Required Clearance:</b></p><ul><li>
US Citizenship.</li><li>
Active Secret Clearance.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience with Databricks, Apache Spark, Delta Lake, or cloud-based lakehouse architectures.</li><li>
Experience integrating with AI or large language model services through APIs, including prompt design, structured outputs, response evaluation, and exception handling.</li><li>
Experience developing or supporting workflows using Microsoft Power Automate or UiPath.</li><li>
Experience operationalizing AI-generated or AI-enriched data through automated pipelines, dashboards, workflow tools, or human-in-the-loop review processes.</li><li>
Familiarity with Retrieval-Augmented Generation, semantic matching, embedding models, vector databases, entity resolution, or related information-retrieval techniques.</li><li>
Experience working in federal government, regulated-industry, cybersecurity, IT asset-management, or large-scale enterprise environments.</li></ul>
<p></p>Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Enterprise Data and AI Solutions Scientist

Tetra Tech

<div><p>Tetra Tech AMT is looking for a Senior Operations Research Analyst/Data Scientist to support a highly visible new FAA project in the initial stand up of executable processes and analytics at the direction of FAA management for pre-departure planning.</p><p>
Primary job duties and responsibilities may include, but are not limited to the following:</p><ul><li>
Establish a process for strategic deconfliction in collaboration with internal and external aviation stakeholders for a new FAA Traffic Flow Management Evolution Program for a potential &ldquo;24/7&rdquo; operation</li><li>
Work 40 hours a week but potentially work late night shifts and weekends at times to cover overnight and weekend data modeling needs</li><li>
Collect historical data, observe network of applicable systems in action, and interview stakeholders to understand operational bottlenecks and business process inefficiencies</li><li>
Using programming languages, along with specialized software, to potentially build quantitative models to simulate various scenarios</li><li>
Help determine the most efficient and ideal best course of action (e.g., build data models that translate to lower fuel burden, less aircraft downtime, shorter block times, and faster flights) given a strict set of real-world constraints</li><li>
Document the FAA process, roles, and responsibilities to enable execution of strategic deconfliction process plan for day of operations in the National Airspace System (NAS)<br>
Work with FAA and industry vendor(s) who will architect and build the analytical data model and provide feedback as necessary</li><li>
Collaborate with FAA stakeholders and external industry partners (as needed) to obtain necessary data to operate logistically optimized model</li><li>
Enter data into analytical models (long range and same day planning) to develop strategic deconfliction plans</li><li>
As needed, support the training of FAA staff on process execution related to newly designed traffic flow management program</li><li>
Document all lessons learned and FAA process improvement opportunities for evolution of strategic deconfliction processes/capability</li><li>
Apply knowledge in the domain of operations research to optimize NAS strategic deconfliction plan</li><li>
Define post event analysis criteria and data expectations</li><li>
Document recommended process improvement opportunities</li><li>
Provide expertise in the design, development, implementation, and analysis of technical FAA products and systems</li></ul>
<div><p>The successful candidate will have:</p><ul><li>
Have deep expertise in data collection and modeling in support of the federal government and preferably in support of FAA mission</li><li>
Deep analytical thinking, strong programming skills, and the ability to translate highly technical data into actionable, strategic recommendations for non-technical stakeholders</li><li>
Have some background in air traffic management and airport operations including FAA traffic flow management practices</li><li>
Possess broad knowledge of operations research procedures, methodologies, and can provide technical expertise in the application of state-of-the-art technology to meet FAA mission and aerospace requirements</li><li>
Flexible work schedule that may require working at FAA in-person and cover nights, weekends and even some holidays during the year as this is in support of a national and highly visible FAA project</li><li>
Potentially be on call to cover shifts when anticipated higher days of operations or team members are unavailable/on scheduled vacation</li><li>
Must have at least 10 years of professional years of experience supporting projects as an Operations Research Analyst but preferably in support of the FAA/NASA or at least the federal government</li><li>
Must have a Bachelor of Science Degree in engineering (e.g. Engineering, Operations Research, Statistics, Computer Science, Mathematics) or related field</li></ul><p>
Salary: $120,000 to $130,000 annually. Compensation is based on relevant experience and qualifications.</p><p>
Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.</p><br>
</div><div>Additional Information
</div><ul><li>Organization: 161 AMT</li></ul></div>

Senior Operations Research Analyst

Two Six Technologies

<div><div><p>At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.</p></div><p><b>
Overview of Opportunity</b></p>
<p>
Two Six Technologies is seeking a <b>Principal Research Scientist</b> to lead technical program delivery and drive business development in new R&amp;D projects in AI/ML, applied statistics, and advanced analytics. Applications may include grey zone conflict, economics, cybersecurity, cognitive modeling, counter-adversarial AI, and broader DoW challenges. A successful candidate will deliver technical excellence while identifying, pursuing and winning new work for the team to grow into. They will also steward existing projects and staff to successful delivery. Therefore, candidates with experience and customer relations in other domains are also strongly encouraged to apply.</p>
<p>
We are a research and development focused group, looking for research leaders who are comfortable quickly developing innovative solutions for customer needs, as well as leading teams of PhDs, researchers, and engineers to innovate, develop and deliver transformative capabilities for National Security. Ideal candidates bring a critical and rigorous approach to research, modeling and analysis, have a strong understanding of the tradeoffs between different modeling approaches, can explain complex approaches clearly to technical and non-technical audiences, and bring a flexible and creative approach to innovating for highly technical customers.</p>
<p>
The work will be onsite in our Arlington, Virginia office.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Perform as technical lead on interdisciplinary projects; mentor junior team members on both technical and non-technical skills</li>
<li>Serve as a technical expert in a variety of AI, statistical, and analytics methodologies on a variety of programs and proposals</li>
<li>Identify, shape, and propose to AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions</li>
</ul>
<p><b>Qualifications:</b></p>
<ul>
<li>Prior experience in building out capabilities that could support grey zone conflict or economic statecraft</li>
<li>Building predictive machine learning models for time series data</li>
<li>Mastery of several different subfields and approaches within AI/ML and statistical analysis; demonstrated ability to reason over the tradeoffs when choosing modeling approaches</li>
<li>Demonstrated experience innovating with foundational model tools for rapid research acceleration</li>
<li>Ability to write and review R, Python, or SQL code; fluency and comfort with git, CI/CD practices</li>
<li>Experience in winning and delivering new R&amp;D programs while growing new capabilities in a team</li>
<li>Holds significant relationships with key personnel in DARPA, other DOD research agencies, and broader government or private-sector sponsors</li>
<li>Experience developing and writing solutions for customers in a wide range of domains and applications</li>
<li>Ability to collaborate across disciplines and business units to bring innovative AI and analytics solutions to support capabilities and needs across the organization</li>
<li>Ten or more years of professional experience in a CS, Mathematics, Statistics or related field</li>
<li>Experience leading both AI / analytics researchers (including PhDs), practitioners, and software engineers on government contracts</li>
<li>Experience in project planning, agile development, and a variety of sprint management methods</li>
<li>Strong and flexible communication that adapts to the specific needs of the audience</li>
<li>Works well in and fosters a culture of respect, curiosity, humility and excellence\</li>
<li>Active Top Secret with SCI-eligible security clearance</li>
</ul>
<p><b>Nice to haves:</b></p>
<ul>
<li>Advanced degree and/ or publications in CS, Mathematics, Statistics or related field</li>
<li>Experience working with ISR data and maritime track data</li>
<li>Experience integrating with Maven Smart System</li>
<li>Intellectual curiosity across multiple domains and demonstrated success applying analytics to novel mission areas</li>
<li>Active TS/SCI</li>
</ul>
<p><b>Clearance Requirements:</b></p>
<ul>
<li>Active Top Secret / SCI-eligible security clearance</li>
</ul>
<p>#LI-MS1</p>
<p>
#onsite</p><p></p><div><div><div><br>
<p>
Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings!</p>
<p>
Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.</p>
<p>
Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.</p>
<p>
If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.</p>
<p>
Additionally, please be advised that this business uses E-Verify in its hiring practices.</p>
<p>
By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.</p></div></div></div></div>

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

VERSA Integrated Solutions

<p>Position: AI/ML Engineer</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).</p><p>The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.</p><p>Position Objectives</p><p>The AI/ML Engineer will:</p><ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul><p>Major Duties &amp; Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul><p>Generative AI &amp; Large Language Models</p><ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul><p>Data Engineering &amp; Preparation</p><ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul><p>MLOps &amp; Model Lifecycle Management</p><ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul><p>Responsible AI &amp; Governance</p><ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul><p>Collaboration &amp; Innovation</p><ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul><p>Required Technical Skills</p><ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul><p>Preferred Skills</p><ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul><p>Required Qualifications</p><ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul><p>Subject Matter Expert (15+ Years)</p><ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul><p>Desired Federal Experience</p><p>Experience supporting one or more of the following agencies is highly desirable:</p><ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul><p>Security Clearance</p><ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul><p>Work Environment</p><ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul><p>Why Join VERSA?</p><p>At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.</p><p>Pay: $118,467.98 - $142,671.13 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Software Engineer - Data, AI/ML & Analytics

Ipsos

<div><p><b>Key Responsibilities
</b></p><ul><li>Support diverse USPA project teams in addressing client research needs via developing efficient and robust study designs, and executing comprehensive, advanced inferential and predictive analyses.
</li><li>Assist senior researchers in generating complex weighting adjustments using machine learning as well as classical statistical procedures, implementing variance adjustments for survey inferences, blending samples, and monitoring data quality.
</li><li>Prepare internal and external data for analysis, and review data as they come in from the field.
</li><li>Serve as supporting author on client technical deliverables, as well as narrative proposals.
</li><li>Actively contribute to technical literature reviews and solutioning sessions in the domains of statistics, data science, causal inference, synthetic data, and data integration.
</li><li>Work as part of interdisciplinary project teams to interpret and cross-validate study findings, develop visualizations and insights, and communicate results to clients and stakeholders.
</li>Interface with other technical teams across Ipsos to facilitate effective deployment of high performance computing resources.<br>
<li>
</li></ul><p></p><p><b>The Ideal Candidate has the following Skills, Experience, and Attributes
</b></p><ul><li>Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly-quantitative social or behavioral science field.
</li><li>Between 3-6 years of experience (depending on credential) in an applied research settings, preferably serving Federal or state statistical or policy agencies in the domains of population and / or behavioral research.
</li><li>Experience with Bayesian modeling and / or supporting the design and implementation of complex sampling and weighting plans a plus.
</li><li>Formal training in one or more forms of longitudinal data analysis and their application to social and behavioral research (i.e., growth curve modeling, mixed effects models, panel methods, failure time / event history analysis, time series, etc.).
</li><li>Experience with Census, health, public opinion, and demographic data.
</li><li>Advanced skills in R and Python (must have experience using PyTorch); skill in SAS preferred.
</li><li>Ability to convey complex technical topics to non-technical audiences, both verbally and in written form.
</li><li>Proactive, and comfortable working within tight and shifting timelines. Ability to support multiple projects simultaneously, while maintaining a strong client service orientation.
</li><li>Unflagging attention to detail and commitment to the accuracy and completeness of information, quality of results, and robustness of findings.
</li><li>Team player with strong interpersonal skills, and the potential to grow as a multidisciplinary quantitative researcher in a dynamic and entrepreneurial organization.
</li>Flexible and comprehensive thinker with enthusiasm for learning and population research; solid foundation in the theoretical and practical aspects of applying statistics as well as data science tools and principles to custom, hypothesis-driven social and behavioral research.<br>
<li>
</li></ul><p></p><div><div><i>If you don&rsquo;t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you&rsquo;re applying to!<br>
</i></div></div><div></div><div><div><i>In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $110,000 to $120,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.<br>
</i></div></div><div></div><div><div><b>What&rsquo;s in it for you:
</b></div></div><div><div><i>At Ipsos you&rsquo;ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.<br>
</i></div></div><div></div><div><div><i>To find out more about all the great reasons to work at Ipsos, how we&rsquo;re making an impact around the world, and more about our benefits and employee programs, please visit:</i><i><br>
</i>
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Why Work at Ipsos | US
</div></div><div><div>Why Work at Ipsos | CA<br>
</div></div><div></div><div><div><b>Commitment to Diversity
</b></div></div><div><div>Ipsos recognizes the necessity of building an inclusive culture that values each employee&rsquo;s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos&rsquo; diverse employees who compile and analyze this data&mdash;they are the essence of who we are and what we do.<br>
</div></div><div></div><div><div>We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.<br>
</div></div><div></div><div><div>Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.<br>
</div><div></div><div>#LI-TL1 #LI-Hybrid</div></div></div><p></p>

Statistician

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