Trabajos data scientist en Alexandria, VirginiaCrear alertas

Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations -

Description Are you interested in shaping the future of transportation? Consider joining the Leidos team operating FHWA’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and adoption of emerging technologies, including automation and communication in vehicles and on the roadside. Learn about STOL here: Leidos is seeking a highly skilled Transportation Data Scientist to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will focus on developing and deploying AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have hands-on experience in AI model development, data integration, and stakeholder engagement, with a passion for identifying new opportunities to apply AI in state-level transportation initiatives. This position offers the chance to drive innovation in a dynamic, federally supported research environment. Location: This role will be expected to work full-time at the customer site in McLean, VA Primary Responsibilities • Conduct data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations (e.g., sensor fusion, computer vision, and multimodal AI)., • Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data (e.g., traffic logs, imagery, weather, and permitting records) while addressing quality issues like inconsistency, sparsity, and bias., • Lead the design, development, and deployment of AI/ML models for transportation applications, including classifying oversized/overweight (OS/OW) vehicles using WIM data and imagery, crash prediction in TMCs, and generating synthetic data for model training., • Evaluate AI model performance under diverse conditions, such as varying data quality levels, and provide recommendations for improving model robustness, scalability, and trustworthiness in real-world transportation environments., • Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors to gather insights on AI applications in WIM systems, permitting integration, and crash prediction., • Identify and pursue new opportunities with state DOTs for AI initiatives, including contributions to developing roadmaps, proposals, and implementation strategies for AI in ITS, such as anomaly detection, traffic optimization, and safety analytics., • Collaborate with cross-functional teams to ensure project alignment with FHWA goals, including risk management, quality assurance, and compliance with federal standards., • Provide technical leadership in monthly progress reporting, risk mitigation, and iterative model refinement based on federal feedback. Required Qualifications • Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's or Ph.D. preferred., • 5+ years of professional experience in data science and AI/ML, with demonstrated expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), data processing tools (e.g., Pandas, NumPy), and AI techniques (e.g., deep learning, generative AI like GANs, computer vision)., • Proven experience in data preparation and integration, including ETL processes, handling multimodal data (e.g., imagery, sensor data, time-series), and addressing data quality challenges in real-world applications., • Strong analytical skills with experience in model evaluation metrics (e.g., AUC, accuracy, scalability) and testing AI systems under varied conditions., • Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences., • Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits., • Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US)., • Prior experience working with state DOTs or federal transportation agencies (e.g., FHWA, USDOT) on AI initiatives, including developing AI roadmaps, implementations, or evaluations in ITS., • Demonstrated hands-on experience proposing, designing, developing, and deploying AI systems within ITS, such as for freight classification, traffic crash prediction, or WIM data analysis., • Familiarity with transportation-specific data sources (e.g., HSIS, SHRP2, NGSIM) and standards (e.g., SAE J2735 for V2X)., • Experience in synthetic data generation, generative AI (e.g., LLMs), or physics-informed ML for transportation applications., • Knowledge of federal AI governance, risk management, and equity considerations in transportation., • Project management experience, including leading AI tasks in multi-agency initiatives or contributing to communities of practice (CoPs)., • Publications or presentations in AI/transportation conferences (e.g., TRB, ITS America). Anticipated salary range for this role is $95,000-$130,000 At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. Original Posting:October 3, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description The Leidos Quantum Incubator has an opening for a Quantum Photonics Scientist to further advance our design capabilities in integrated photonics. This role will take the lead in performing simulation and design work to build integrated quantum photonic devices. In addition, you will develop high-fidelity models for these photonic devices, which fall in the areas of Quantum Sensing and Networking. In this position, you will collaborate closely with other circuit designers and test engineers to understand requirements and provide the necessary support to ensure successful completion of project goals and tasks. We encourage candidates with strong, relevant backgrounds to apply, even if they do not meet all qualifications below. Key Responsibilities: Perform open-ended numerical optimizations in the areas of photonics and quantum science Design photonic circuits through script-based creation of CAD files Collaborate with the Quantum Technologies team to design integrated photonic circuits Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: * T2: Bachelor’s degree in physics, engineering, or related fields and 2+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T3: Bachelor’s degree in physics, engineering, or related fields and 4+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T4: Bachelor’s degree in physics, engineering, or related fields and 8+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. Basic Qualifications: * Experience with optimization of photonic components using simulation tools (COMSOL, Lumerical, or equivalent) * Experience with open-ended numerical simulations and optimizations * Research experience in the areas of nonlinear optics, atomic physics, quantum information science, and/or quantum photonics * Strong proficiency in Python programming and object-oriented programming * Familiar with GDS factory or similar design tools * Strong analysis, design, and problem-solving skills * US citizenship with the ability to obtain and maintain US government security clearance. Preferred Qualifications: * PhD degree in physics, engineering, or other equivalent area of expertise * Expert in Python programming * Expertise and experimental background in nonlinear optics, atomic physics, quantum information science, and/or quantum photonics * Experience with PDKs, semiconductor or nanofabrication processing, and packaging of photonic integrated circuits * Experience creating nanofabrication CAD files (Klayout) from python scripting (GDS factory) * Strong background in data analysis and visualization If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:November 20, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description The Leidos Quantum Incubator is looking for thought leaders with a strong background in quantum technologies / quantum information science, specifically with focuses on quantum optics, sensing, and communications. This is NOT a position for quantum computing efforts or interests. This is an exciting opportunity to use your experience to help grow the Leidos quantum technologies portfolio of contract and internal R&D projects, benchmarking, and operational prototypes. In this position, the Senior Quantum Scientist will participate in the full life cycle of research & development of optical systems for the study of quantum-enabled remote sensing and communications. Ideal candidates should be interested in a career devoted to applied research and development with strong experimental, hardware skills and should be interested in maturing technologies from concept to prototype. Primary responsibilities: * Design, build, perform tests, and analyze quantum experiments in various systems and platforms for cutting edge devices in quantum communication, sensing, and precision positioning, navigation, and timing * Perform laboratory and field tests to prove and validate quantum experimental theories as viable products in applicable domains, and benchmark results within the field * Write proposals, publish papers, attend and present at conferences, and briefing internal and external customer * Collaborate with other team members, engineers, and scientists across the company and different fields to leverage quantum technologies to achieve organizational goals Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: * T4: Bachelor’s degree in physics, applied physics, engineering, or related fields and 8+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T5: Bachelor’s degree in physics, applied physics, engineering, or related fields and 12+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. Basic Qualifications: * Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing * Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources * Experience building and benchmarking software prototypes, to include metrics development, and theoretical/analytical/computational skills * Strong technical writing skills with experience in writing advanced technical proposals. * Provide business development support to help grow Arlington Branch’s project portfolio * US Citizenship with the ability to obtain and maintain a US government security clearance * Strong desire to learn new technologies and flexibility to change from one project to another quickly * Experience with standard programming languages for analytics or scientific applications * Ability to effectively communicate to both technical and non-technical audiences * Highly motivated to publish in peer-reviewed journals and present research at conferences Preferred Qualifications: * Ph.D. in Physics, Applied Physics, Engineering, or related fields * Extensive experience researching quantum sensing, communications and/or quantum information technology * Experience operationalizing machine learning and/or autonomy, and analytical capabilities * Experience and domain knowledge related to data processing, aerospace engineering, payload design, satellites * Demonstrated experience in proposing and winning independent research funding * Electronics and computer automation of laboratory experiments * Experience with big data applications, data science, or data analytics methods and tools * DoD Top Secret Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:November 20, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $104,650.00 - $189,175.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Mercor is hiring experienced Go Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Go by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Go - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $90 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Description Leidos is seeking a talented Junior Transportation Data Scientist at the junior level to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will involve assisting in the development and deployment of AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have foundational experience in AI model development, data integration, and stakeholder engagement, with a passion for exploring opportunities to apply AI in state-level transportation initiatives. This position offers the chance to contribute to innovation in a dynamic, federally supported research environment. Location: This role will be expected to work full-time at the customer site in McLean, VA Primary Responsibilities • Assist in conducting data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations (e.g., sensor fusion, computer vision, and multimodal AI)., • Prepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data (e.g., traffic logs, imagery, weather, and permitting records) while addressing quality issues like inconsistency, sparsity, and bias., • Contribute to the design, development, and deployment of AI/ML models for transportation applications, including classifying oversized/overweight (OS/OW) vehicles using WIM data and imagery, crash prediction in TMCs, and generating synthetic data for model training., • Evaluate AI model performance under diverse conditions, such as varying data quality levels, and provide recommendations for improving model robustness, scalability, and trustworthiness in real-world transportation environments., • Support stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors to gather insights on AI applications in WIM systems, permitting integration, and crash prediction., • Assist in identifying and pursuing new opportunities with state DOTs for AI initiatives, including contributions to developing roadmaps, proposals, and implementation strategies for AI in ITS, such as anomaly detection, traffic optimization, and safety analytics., • Collaborate with cross-functional teams to ensure project alignment with FHWA goals, including risk management, quality assurance, and compliance with federal standards., • Contribute to monthly progress reporting, risk mitigation, and iterative model refinement based on federal feedback. Required Qualifications • Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, Transportation Engineering, or a related field; Master's preferred., • 2+ years of professional experience in data science and AI/ML, with demonstrated familiarity in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), data processing tools (e.g., Pandas, NumPy), and AI techniques (e.g., deep learning, generative AI like GANs, computer vision)., • Strong experience in data preparation and integration, including ETL processes, handling multimodal data (e.g., imagery, sensor data, time-series), and addressing data quality challenges in real-world applications., • Strong analytical skills with familiarity in model evaluation metrics (e.g., AUC, accuracy, scalability) and testing AI systems under varied conditions., • Excellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences., • Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings and site visits., • Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US)., • All applicants must be legally authorized to work in the United States without company sponsorship. Preferred Qualifications • Prior experience working with state DOTs or federal transportation agencies (e.g., FHWA, USDOT) on AI initiatives, including developing AI roadmaps, implementations, or evaluations in ITS., • Familiarity with transportation-specific data sources (e.g., HSIS, SHRP2, NGSIM) and standards (e.g., SAE J2735 for V2X)., • Experience in synthetic data generation, generative AI (e.g., LLMs), or physics-informed ML for transportation applications., • Knowledge of federal AI governance, risk management, and equity considerations in transportation., • Project management experience, including leading AI tasks in multi-agency initiatives or contributing to communities of practice (CoPs)., • Publications or presentations in AI/transportation conferences (e.g., TRB, ITS America). Anticipated salary range for this role is $75,000-$100,000, depending on experience. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:November 18, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $55,250.00 - $99,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Our work is conducted primarily on-site at our client location in Bethesda, MD. Fun stuff you will do: • Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations., • Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more., • Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience., • Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team., • Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement To be successful in this role you need the following (required): • B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses, • 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master’s, • Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph, • Proficiency in one or more scripting languages such as Python, • Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift., • Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL), • Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms, • Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won’t fit in memory., • Track record of active learning and creative problem solving, • Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions., • Familiarity using git or other version control technologies, • Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision You will wow us even more if you have some of these skills: • A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes., • Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics, • Experience with Knowledge Graphs and KG tech such as neo4j or graph ML., • Experience developing predictive algorithms, image classifiers, object detectors, and others., • Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing., • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner., • Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description The Leidos Quantum Incubator has an opening for a Quantum Computer Scientist with a background in quantum information science. In this position, the Quantum Computer Scientist will research quantum network behavior, algorithms for quantum networking and computing, and develop software to simulate quantum network behavior and orchestration. Ideal candidates should be interested in a career devoted to applied research and development with strong mathematical and software skills and should be interested in maturing technologies from concept to prototype. Primary Responsibilities * Design, simulate, and analyze cutting edge devices in quantum communication, sensing, and precision positioning, navigation, and timing * Develop new concepts for quantum communication and distributed quantum device protocols * Design software to create high-fidelity simulation of quantum communications, photonics, or sensing experiments. * Coordinate large-scale software development for quantum device simulations. * Collaborate with other team members, engineers, and scientists across the company and different fields to leverage quantum technologies to achieve organizational goals Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: * T3: Bachelor’s degree in physics, engineering, or related fields and 4+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T4: Bachelor’s degree in physics, engineering, or related fields and 8+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. Basic Qualifications: * Research experience in one or more of the following areas: computer science theory, algorithms theory, distributed quantum computing, network behavior, and network nonlocality. * Familiarity with quantum information software tools such as Qiskit, Pennylane, SeQUeNCe, QuTIP, etc. * Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources * Strong theory and analytical skills * Strong technical writing skills with experience in writing advanced technical proposals. * US Citizenship with the ability to obtain and maintain a US government security clearance * Strong desire to learn new technologies and flexibility to change from one project to another quickly * Experience with standard programming languages for analytics or scientific applications, such as Python, Matlab, and Mathematica and version control i.e. Git * Ability to effectively communicate to both technical and non-technical audiences * Highly motivated to publish in peer-reviewed journals and present research at conferences Preferred Qualifications: * PhD in computer science, information theory, physics, mathematics, applied physics, engineering or related field. * Extensive experience researching in quantum information and communication theory * Deep knowledge of computer science algorithms and principles, i.e. research experience proving properties of algorithms * Familiarity with theory and applications of quantum networks such as distributed quantum algorithms, network nonlocality, distributed quantum sensing, etc. * Comfort with tools ranging from numerical simulation to mathematical proof to demonstrate viability of quantum information concepts * Experience with quantum-classical hybrid processing * Experience with potential avenues for quantum advantage such as Hamiltonian Simulation, Quantum Machine Learning, etc. * Interest and experience in quantum communications, quantum computing, quantum networks, or quantum sensing * Demonstrated experience in proposing and winning independent research funding * DoD Top Secret Clearance If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:November 20, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description We are looking for an Experimental Photonics Scientist to join The Leidos Quantum Incubator. In this role, you'll be responsible for testing and characterizing photonic integrated circuits (PICs). This is a great opportunity to apply your experience in a way that directly contributes to our quantum technologies portfolio. You will help us develop new contract and internal R&D projects by benchmarking quantum devices and building working prototypes. You will also work closely with other quantum scientists to provide feedback that improves the design and layout of circuits for optimal testing. The ideal candidate is someone who is passionate about applied research and development and has strong experimental skills. We are looking for a scientist who wants to help mature new technologies from the initial concept all the way to a working prototype. Key Responsibilities: * Collaborate with design and layout engineers to ensure PICs are compatible for testing. * Identify key hardware needs for photonic testing and experimental demonstrations * Use photonic probing systems to conduct detailed testing and characterization of PICs at the component, subsystem, and system levels. * Maintain and calibrate lab equipment and testing apparatus to ensure high-quality testing standards. * Analyze captured data, document test results, write comprehensive reports, and present findings to internal teams. * Continuously stay up to date with advancements in photonic technology, testing methods, and industry best practices. Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: * T2: Bachelor’s degree in physics, engineering, or related fields and 2+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T3: Bachelor’s degree in physics, engineering, or related fields and 4+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T4: Bachelor’s degree in physics, engineering, or related fields and 8+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. Basic Qualifications: * Experience using photonic PIC probing hardware for basic testing, including optical coupling and alignment, insertion loss measurements, and spectral response analysis. * Proficiency in aligning fiber arrayed probes to both edge-coupled and grating-coupled devices. * Hands-on experience with equipment such as laser sources, power meters, optical spectrum analyzers, oscilloscopes, and micromanipulator stages. * Experience developing software to control hardware for experiments, using either Python or LabView. * Skilled in handling delicate optics and photonic chips. * Desire to work on a fast-paced research environment. * US citizenship with the ability to obtain and maintain US government security clearance. Preferred Qualifications: * PhD degree in physics, engineering, or other equivalent area of expertise. * Prior experience in the design, fabrication, or characterization of hybrid non-linear integrated photonics (such as TFLN or BTO). * Nanophotonic design using photonic simulation tools such as: FDTD, FEM, or optical mode solver (Lumerical/COMSOL/Tidy3D/or similar) * Expertise in free space optics, including the design, alignment, and testing of optical systems for quantum applications * A record of publications in peer-reviewed journals or presentations at conferences with the desire to contribute to proposal writing. * Strong written and oral communication skills with the ability to brief non-technical audiences. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:November 20, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at . Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Title: Data Scientist SME Location: Alexandria, Virginia & Chantilly, Virginia Job Type: On-site Clearance Required: Top Secret/SCI Job Overview: We are seeking a highly experienced Data Scientist (Subject Matter Expert) to lead complex, mission-critical projects that apply advanced data science

Description Are you a motivated Research Scientist specializing in Computational Design and Manufacturing with a technical vision and hands-on knowledge of mission-focused systems? The Leidos Innovations Center’s newly established Information and Data Science Division is seeking a Principal Autonomy and Resilient Systems Scientist to help lead strategic solution developments and projects. The ideal candidate will have a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art. We are looking for a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding. Primary Responsibilities • Develop innovative solutions to challenging problems of interest to the Defense Applied Research Projects Agency (DARPA), the U.S. Department of Defense (DoD), and Intelligence Community (IC)., • Engage R&D customers and transition partners to understand technical gaps and needs for computational design and crisis manufacturing for mission critical systems., • Lead teams that execute advanced research in areas of autonomy, optimization, and generative design., • Develop and deliver complex AI/ML model pipelines and software products., • Collaborate in cross-discipline teams to deliver innovations that provide measurable mission impact., • Track technology trends in the customer and broader R&D communities. Basic Qualifications • Proven track record developing and delivering complex AI/ML model pipelines and software products., • Bachelor’s degree in Computer Science, Applied Mathematics, Industrial Engineering or a related field and 12+ years prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred), • Industry and/or academic experience in generative design, constrained optimization, automated planning, or AI-enabled CAD integration., • Past experience optimizing manufacturing processes through systems engineering and operations research., • At least 4 years of experience with programming languages such as Python, C/C++, Rust, or MATLAB., • Strong verbal and written communication skills, with experience engaging with senior leadership and technical teams as well as ability to present complex technical solutions in a clear, understandable manner., • Ability and willingness to obtain and maintain a DoD Secret clearance. U.S. citizenship is required. Preferred Qualifications • Proven track record in proposing, winning, and executing contract R&D with customers such as DARPA, IARPA, or similar agencies within the last 5 years., • Ph.D. in Computer Science, Applied Mathematics, Industrial Engineering or a related degree., • Strong publication track record demonstrating experience advancing the state of the art in generative design, constrained optimization, automated planning, or AI-enabled CAD integration., • Domain experience in design and manufacturing of naval, air, or surface platforms and autonomous systems., • Experience with simulation, manufacturing automation systems, and digital twin frameworks., • Experience with automation and industrial control languages for integrating legacy equipment., • Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommend alternative technical approaches, and shape future opportunities., • Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities., • Active DoD Secret clearance., • Ability and willingness to work a hybrid schedule onsite in either San Diego California or Arlington Virginia. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. December 1, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $126,100.00 - $227,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Description Leidos has an exciting opportunity for a Senior Exploitation Specialist/Data Scientist to join our team in Springfield, VA. Primary Job Duties: * Collect process data and perform data analysis. * Integrate centralized protect and maintain data in DBMS. * Clean massage and organized data. * Perform ad hoc analysis and present results in a clear manner. * Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. * Create/deploy/maintain cloud applications to support migration of data and production processes * Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database. * Write/maintain Python scripts in Arc GIS to improve efficiency of the production process. * Support Business Processing Re-engineering. * Perform Data Conversion/migration * Perform Business Analytics. Basic Qualifications * Quantitative Bachelor’s degree with 10 years of related experience. * Related Masters Degree with 7 years of experience. * Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT. * Previous experience wiith DataBricks and Apache Spark Preferred Qualifications * Quantitative PhD. * Deep learning for data science. * 2+ programming languages, 2+ data visualization tools, 2+ cloud technologies. * Windows/Linux command line interface (CLI) experience. * Demonstrated IC experience. At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. October 28, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $89,700.00 - $162,150.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Featuredjob

Data Scientist, Senior The Opportunity: In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Analysts employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. What You'll Work On: \n • Design and execute statistical analyses on large, complex datasets from diverse sources.\n, • Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.\n, • Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.\n, • Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.\n, • Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.\n, • Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.\n You Have: \n • 7+ years of experience with data science, statistical analysis, or quantitative research\n, • 7+ years of experience with the development of algorithms leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or tidyverse\n, • 7+ years of experience analyzing structured and unstructured data sources\n, • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification\n, • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses\n, • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK\n, • TS/SCI clearance\n, • Experience with natural language processing (NLP) techniques, such as text classification or entity recognition\n, • Experience with geospatial data analysis\n, • Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing\n, • Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams\n, • Experience working with the U.S. Department of Defense or the Intelligence Community\n, • Experience with graph analytics, network analysis, or anomaly detection techniques\n, • Experience with version control (Git) and reproducible research practices\n, • Knowledge of machine learning model development and deployment practices\n, • Possession of excellent written and verbal communication skills\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About the Role At Mercor, we are partnering with top AI labs in applying AI to complex scientific challenges to build a state-of-the-art benchmark to evaluate the capabilities of the lab’s AI models in the field of bioinformatics. Our goal is to test a model's ability to autonomously design and execute complex bioinformatics workflows, starting from raw sequencing data and a natural language prompt. This project requires a sophisticated blend of tool proficiency, deep biological domain knowledge, and rigorous scientific reasoning. We are seeking talented researchers to help us create these benchmark tasks using real-world, published scientific data. A brief 15-minute interview precedes candidate selection, with decisions typically made within four days following assessment completion. Currently, applicants must be based in the U.S., UK, Canada, Australia or New Zealand. Why You’re a Great Fit You're a strong candidate if you: - Must be a current graduate student (M.S. or Ph.D.) or hold a higher degree (e.g., Postdoctoral Fellow, Research Scientist) in Bioinformatics, Computational Biology, Genomics, or a related quantitative field. - Experience using bioinformatics command line tools - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. Role Highlights - Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours. - Fully remote and asynchronous scheduling. - Initial commitment of 1–2 months, with opportunities for extension. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect About Mercor Mercor is a $2B company that connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to leverage your skills in advancing revolutionary AI technologies!

Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs.

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Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Senior Data Scientist to lead the development and deployment of models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions.The successful candidate will have the opport

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A leading consulting firm in Washington, DC is looking for a Data Scientist to unlock insights from data. The ideal candidate has at least 4 years of experience in data analysis and a Bachelor's degree. Join us to impact global challenges through data science.

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A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfo

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A leading analytics firm in Washington, DC is looking for a Data Scientist to support supply chain risk management. You will analyze complex datasets, implement data-driven solutions, and develop visualizations. Candidates should have a Bachelor's degree and extensive experience with Python, machine

FBI’s Hi-Tech Organized Crime Unit (HTOCU) at FBI Headquarters in Washington, DC. Data Scientist - FBI HTOCU Support (Anticipated). FBI Hi-Tech Organized Crime Unit (HTOCU) Support.

Computer Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: \n • 8+ years of experience with scientific techniques such as mathematics, statistics, information science, artifi cia l intelligence, machine learning, probability modeling, data mining, data engineering, or data warehousing\n, • 8+ years of experience correlating complex, technical findings into graphical, written, visual, and verbal narrative products\n, • Experience with rapid prototyping for exploratory analysis on large volumes of data\n, • Experience working on classified networks and in support of DoD or IC clients\n, • Ability to advise about data management within hardware, sof tware, storage, and bandwidth constraints\n, • Ability to employ data science techniques to support predictive analysis, wargaming, and strategy development\n, • Ability to work independently with minimal oversight and direction\n, • TS/SCI clearance with a polygraph\n, • Experience reviewing and evaluating technical documentation for compliance with applicable standards\n, • Experience developing and delivering training materials and workshops about technical processes\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Advanced Data Scientist and Researcher The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics, data science, and consulting expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We're looking for someone like you to lead complex data exploration and analytics projects through your experience with data solutions, operationalizing models, containerization, data architecture, and cloud computing on data analytics platforms used by the Department of Defense. As an advanced data scientist and researcher on our National Security team, you'll introduce innovative data analytics and AI methodologies to make a real-world impact on resiliency projects, change the world, and protect our Service members. You'll share your skills in data science and AI and shape the future of analytics through a variety of means, such as peer-reviewed papers and major conference presentations. You will apply expert understanding of social science disciplines, research methodology, and statistics to investigate, analyze, and evaluate warfighter readiness and resiliency policies, programs, and procedures. In addition, you will apply specific functional knowledge, including working and general industry knowledge, leading solutions, and working independently on a variety of Department of Defense problems of complex scope in a dynamic and fast-paced environment. You will be responsible for reviewing or guiding the activities of more junior employees. Join us. The world can't wait. You Have: \n • 10+ years of experience conducting social science, public health, and readiness research supporting the DoD initiatives\n, • 10+ years of experience creating verbal and written communication products for non-technical clients, including research reports, briefing decks, and information papers\n, • 10+ years of experience interpreting statistical findings and presenting data and research results to non-technical audiences\n, • Knowledge of research methodology, including qualitative methods, quantitative methods, and statistics\n, • Knowledge of workplace climate indicators that contribute to warfighter readiness\n, • Secret clearance\n, • Experience applying public health and social science research in a military setting\n, • Knowledge of multivariate statistical methods, including logistic regression, multivariate regression, or multilevel modeling\n, • Ability to leverage quantitative methodology to shape research questions and data models\n, • Ability to operationalize key research concepts\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: \n • 3+ years of experience using data science programming languages such as Python or R\n, • Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage\n, • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket\n, • Knowledge of statistical analysis, predictive modeling, and machine learning met hods\n, • Ability to design and develop automated analytic sof tware, techniques, and algorithms\n, • Ability to develop solutions and integrate and extend free and open-source sof tware ( FOSS ) or COTS products\n, • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS\n, • TS / SCI clearance\n, • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools asso cia ted with these disciplines\n, • Experience with intelligence or operations analysis in the DoD or Intelligence Community\n, • Knowledge of DevOps, including CI / CD pipelines and Jenkins\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

A leading consulting firm is seeking a highly motivated Data Scientist to develop and deploy innovative data science solutions for the U.This role involves conducting data analysis, developing algorithms, and collaborating with stakeholders to implement AI/ML solutions in critical areas such as heal

Job Description Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI Security Clearance Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider. Minimum Qualifications • U.S. Citizen, • Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request., • 3-10 years of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL., • Advanced knowledge in data science, including the areas of data services, modeling, and analytics., • Advanced knowledge of geospatial data management including data type conversion; coordinate systems (latitude and longitude, UTM) and their conversions; and knowledge of projections and their properties / conversions., • Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer., • Proficient with ESRI Workflow Manager WMX and TAM., • Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing. Desired Qualifications • Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats., • Ability to clean / prune data to discard irrelevant information, • Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and/or opportunities, • Advanced knowledge of ESRI ArcGIS and ArcServer, • Knowledge of database systems and architecture (ORACLE, PostgresEQL, NoSEL (MongoDB), Microsoft Access), • Ability writing SQL (and NoSQL for senior candidates), • Understanding cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps, • Knowledge of symbolization rules (how symbols are used to portray features), • Knowledge of generalization rules, • Experience working with geospatial data in a multi-user enterprise environment (i.e., versioning data), • Knowledge of artificial intelligence, natural language processing, and machine-to-machine learning, • Knowledge of Metrics dissemination, • Ability to convert unstructured data into structured data, • Proficient in MS Outlook, Word, PowerPoint, Access, and Excel, • Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems Work Environment Work is within a team environment and will be conducted on site in Springfield, VA. *Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above. Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire. Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies. Job Posted by ApplicantPro

Job Description TMB has an exciting opportunity for a Data Scientist to provide support to a U.S. Navy program office. Responsibilities • The Data Scientist will support data analytics activities for the NAVSEA Director for Surface Ship Maintenance, Modernization, and Sustainment (SEA 21)., • This role is focused on leveraging advanced analytics, data modeling, and visualization techniques to improve decision-making, optimize maintenance schedules, and enhance modernization planning for the U.S. Navy’s surface fleet., • Collect, clean, and analyze large datasets related to ship maintenance, modernization, and sustainment programs., • Develop predictive models and algorithms to forecast maintenance needs and resource requirements., • Create dashboards and visualizations to communicate insights to senior leadership and stakeholders., • Apply statistical and machine learning techniques to identify trends, risks, and opportunities for process improvement., • Collaborate with program managers, engineers, and IT teams to integrate data-driven solutions into operational workflows., • 5 years professional experience., • Master's degree in math, science, engineering, or related field., • 10 years of professional experience is acceptable instead of a degree. TMB currently offers the following employee benefits: • Health, Dental, and Vision Insurance, • Flexible Spending Accounts for Medical, Dependent Care, Qualified Transportation Expense, and Non-Employer Sponsored Plans, • Life and AD&D Insurance, • Short- and Long-Term Disability coverage, • Paid Holidays, • Paid Time Off (PTO), • Several defined retirement plans including 401(K) and Employee Stock Ownership (ESOP) Plan

Job DescriptionBenefits: • Dental insurance, • Health insurance Key Responsibilities Design, implement, and operate Retrieval-Augmented Generation (RAG) services using Azure AI/Search, including chunking, embeddings, re-ranking, evaluation, and citation display. Design and deploy Model Context Protocol (MCP) tools/servers to integrate security scanners, inventory systems, approvals, and Azure DevOps/GitHub services. Build agentic AI solutions using AutoGen, CrewAI, and/or Agno, enabling secure tool-calling and multi-agent orchestration for troubleshooting and workflow automation. Develop production-grade chatbots (multi-turn, retrieval-grounded) with prompt management, guardrails, audit logging, and telemetry. Integrate Azure OpenAI securely behind API Management (APIM), manage secrets with Key Vault, handle events via Event Hub, and instrument with App Insights/Log Analytics. Evaluate and (where appropriate) fine-tune open-source models (e.g., PEFT/LoRA), balancing quality, latency, cost, and safety. Ship with CI/CD on Azure DevOps, implement unit/integration tests, red-team for prompt-injection/jailbreaks, and document runbooks. Minimum Qualifications 4-8 years total software development experience, with 2+ years in applied LLM/GenAI. Strong Python skills and hands-on experience with Azure OpenAI and Azure AI/Search (vector search, hybrid search, semantic ranking). Practical experience with agent frameworks (AutoGen, CrewAI, Agno) and MCP/tool-use patterns. Proven Azure PaaS experience: Azure Functions or Web Apps, APIM, Key Vault, Event Hub; familiarity with Entra ID/RBAC and secure API design. Experience implementing observability (App Insights, Log Analytics/KQL) and CI/CD with Azure DevOps. Nice to Have (including Certifications) RAG evaluation frameworks (e.g., Ragas), custom golden sets, KQL proficiency, Cosmos DB familiarity. Security-first mindset: content safety, prompt-injection defenses, data privacy controls, and threat modeling for AI systems. Experience with cost monitoring/optimization of LLM workloads and latency tuning. Certifications (any of): o Microsoft Certified: Azure AI Engineer Associate (AI-102) o Microsoft Certified: Azure Developer Associate (AZ-204) o Microsoft Certified: Azure Solutions Architect Expert (AZ-305) o Microsoft Certified: Azure Data Scientist Associate (DP-100)

Job Description Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do * Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. * Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. * Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. * Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. * Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed * Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. * Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). * Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. * Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. * Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. * Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou’ll love it here if: * You are energized by big, complex challenges and the opportunity to solve them. * You want your work to have a real, measurable impact on people’s lives. * You take ownership and run toward problems, not away from them. * You value clear, candid, and constructive communication. Promise is not for you if: * You prefer hierarchy and rigid structures. We operate with freedom and responsibility. * You are uncomfortable with change. We move fast, adapt often, and expect agility. * You want a typical corporate culture. We are mission-driven, ambitious, and direct. * You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People * 100% paid health coverage * Generous PTO and sick leave * Lunch, snacks, and coffee provided * Company retreats * Opportunities to travel and see the impact of your work * Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. Compensation Range: $150K - $215K

Job Description Job ID: 20240528231610 Location: Springfield, VA Shift: none Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work. Description We are looking for a Senior-level TS/SCI-cleared Data Scientist Analyst to join our team! This Data Scientist will lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Minimum Required Qualifications: • About 10 years of relevant experience, • Demonstrated ability to operate successfully in a fast-paced and dynamic environment as a team member., • Work across the office enhance workflows in addition to create efficiencies that result in greater productivity., • Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data., • Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities., • Apply statistical and analytic methods to support answering intelligence questions and mission requirements., • Build lightweight analytic tools to visualize analytic outputs for intelligence consumers. Position Number: B-018-GSB-007 / B-018-GSB-009 About Masego Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training. Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community. Pay and Benefits We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, Referral bonuses, and more! Diversity Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Powered by JazzHR fQcuAa6B0w

Job Description Clearance Level Required: Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. Location: Northern Virginia The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications • Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products, • Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries, • Research and devise innovative statistical models for data analysis, • Communicate findings to all stakeholders, • Enable smarter business processes—and implement analytics for meaningful insights, • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables, • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy, • Analyze data for trends and patterns, and Interpret data with a clear objective in mind, • Bachelor’s degree in statistics, applied mathematics, or related discipline, • 2+ years experience in data science, • Proficiency in data mining, mathematics, and statistical analysis, • Advanced pattern recognition and predictive modeling experience, • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person’s contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

Job Description Exploitation Specialist - Data Scientist Skill Level 4-Senior Current TS/SCI Required Current CI POLY required Location: NGA Washington Position responsibilities and duties are: • Exploitation Specialist – Data Scientist, • Primary responsibilities: Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community., • Primary skill requirements:, • Work across the office enhance workflows in addition to create efficiencies that result in greater productivity., • Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data., • Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities., • Apply statistical and analytic methods to support answering intelligence questions and mission requirements., • Build lightweight analytic tools to visualize analytic outputs for intelligence consumers., • Design methods and mechanisms to track, report, and monitor a set of mission specific objects in order to maintain custody of those objects for various orders of battle.