June 24, 2026For 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. 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 LeidosCareersFraud@leidos.com.
Fort Belvoir, VA30+ days ago
Excellent analytical, technical, communication, planning, presentation, and organizational skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences, internal teams, senior leaders, vendors, partners, customers, and stakeholders. Ten (10) years relevant program/project management experience, with at least three (3) years managing similarly complex multi-capability, geographically distributed projects for a program value of at least $20M per year .
Requirements: - 3+ years of network administration experience in Cisco environments, experience with Cisco and Juniper technologies, and exposure to data center or building automation systems. This individual will be responsible for managing network hardware, troubleshooting complex issues, implementing security protocols and leading network improvement initiatives.
Arlington, VA30+ days ago
ul>Leadership & Team Management: Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value. Technical & Scientific Direction: Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing.
Arlington, VA30+ days ago
p>In Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services-creating tangible value at speed and scale.
We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.
Tysons Corner, VA26 days ago
Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks. They build working solutions alongside Engineering, Growth, and CS - solutions that generate direct ARR, feed the product roadmap, or accelerate the commercial motion in government and enterprise accounts.
p>We are looking for practitioners who will work alongside Life Sciences organizations from bio-technology firms to global big pharma to medical devices, to drive business value through end-to-end delivery of solutions based on strategy development for heart of business issues. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
p>Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality.
The Program Manager will serve as the primary interface between NIS and USGS leadership, ensuring the successful execution of task orders supporting scientific research, water resources management, environmental monitoring, geospatial services, laboratory operations, data management, and technical project support activities. NIS is seeking an experienced Program Manager for a potential opportunity to support the U.S. Geological Survey (USGS) Science and Technical Support Services program supporting the Mid-Continent Region, Water Mission Area, National Water Quality Laboratory, and Earth System Processes Division.Position Overview.
College Park, MD30+ days ago
em>Blue Sky Innovative Solutions (Blue Sky) assists its federal, state and local, and commercial clients with solving their toughest challenges in the areas of IT Infrastructure Support and Engineering; Application Development and Maintenance; Program and Project Management; and Management Consulting. You will serve as a trusted advisor to NIH leadership, helping guide scientific data initiatives from planning through execution while aligning work across stakeholders, technical teams, researchers, and executive leadership.
Vienna, Virginia30+ days ago
strong>We have answers.. You’ll lead a team that helps new and existing customers optimize and expand adoption of Esri technology, identify new areas of growth, and share expertise that helps deliver on their mission.
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. The role requires collaboration with cross-functional teams to operationalize data platforms and analytics solutions.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: - Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
McLean, Virginia30+ days ago
ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Baltimore, MD30+ days ago
10-15 years of\u202fexperience working on large building construction projects, with 5+ years experience in interior construction consulting with sound knowledge of interior fit out, interior finishes, lab casework, lab equipment coordination, high profile public places, entrance lobbies, building artwork, building materials, and field investigation methods. Based at our client's project site in Baltimore, MD, you'll be responsible for analyzing and developing reports, meeting minutes, correspondence, project awards, invoices, and assist with development and management of project budgets, schedules, project controls, and on-site management of Construction Managers as needed.
You'll lead a team that helps new and existing customers optimize and expand adoption of Esri technology, identify new areas of growth, and share expertise that helps deliver on their mission. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. In Consumer Identity ML, you will work at all phases of the data science life cycle, including: Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
McLean, Virginia30+ days ago
ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics. In Emerging ML, you will work at all phases of the data science lifecycle, including:
Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
McLean, Virginia30+ days ago
ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Arlington, VA30+ days ago
Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world's oldest enemy: disease. With Ferring, you will be joining a recognized leader, identified as one of "The World's Most Innovative Companies" by Fast Company, and honored by Fortune with inclusion on its "Change the World List," for addressing society's unmet needs.
You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Internal Audit's Manager II, Data Science (Product Engineering) is responsible for leading a team of data analytics, data management and AI specialists focused on developing and maintaining data products to drive Internal Audit's efficiency and effectiveness. Manage multiple teams and/or specialized units to include resource planning, ensuring the execution of complex modeling initiatives; partner with leaders in analytics, engineering, and business domains to integrate models into workflows.
Qualifications Required: 10-15+ years of consulting experience in Life Sciences or highly regulated industries 6+ years in a sales-driven role with proven success including pursuits and deal closing 6+ experience building and managing pipeline and leading RFPs 10+ years experience with MarTech platforms (Veeva Vault PromoMats, Adobe, Salesforce, etc.) 10+ years experience leading large-scale transformation programs 6+ years experience with SOWs, pricing models, and financial management 1+ years of experience with GenAI, LLMs, and agentic AI solutions Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve Preferred: Certifications in Adobe or Salesforce platforms Experience with CDP, CRM, and broader MarTech ecosystem Background in data science or AI/ML Experience with modular content and taxonomy frameworks Thought leadership experience (speaking, publishing, etc.) The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Deliver programs across Life Sciences marketing, content supply chain, MarTech, and GenAI Lead end-to-end pursuits including pipeline development, RFP responses, pricing strategy, and contract negotiation Build and manage a robust pipeline with accountability for sales targets Identify whitespace opportunities and develop new offerings and thought leadership Lead large-scale transformation programs across DAM, MRM, MLR, and GenAI workflows Manage global delivery teams using Agile methodologies Act as a trusted advisor across Marketing, IT, and Operations stakeholders Translate business needs into scalable technology and GenAI solutions Recruit, mentor, and build high-performing teams Manage engagement financials, pricing models, and SOW development The team An evolving customer and regulatory landscape, mounting pipeline of next-gen assets and portfolio pressures, and intensifying competition are presenting new organizational and operational hurdles for Life Sciences companies.
p>We are looking for practitioners who will work alongside Life Sciences organizations from bio-technology firms to global big pharma to medical devices, to drive business value through end-to-end delivery of solutions based on strategy development for heart of business issues. An evolving customer and regulatory landscape, mounting pipeline of next-gen assets and portfolio pressures, and intensifying competition are presenting new organizational and operational hurdles for Life Sciences companies.
We are looking for practitioners who will work alongside Life Sciences organizations-from biotechnology firms to global big pharma to medical device companies-to drive business value through end-to-end delivery of experience design strategies that connect human insight to commercial impact. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
li>Organizational Impact & Workforce Readiness: Conduct research and analysis to understand how AI affects roles, skills, workflows, and decision-making; partner with Marriott's Organizational Capability Center of Excellence to design strategies for adoption, upskilling, and job redesign.
In addition, this role will help identify high-impact opportunities for AI across workflows and processes, translating business challenges into structured research, pilots, and practical applications that inform product and operational decisions.
Arlington, VA30+ days ago
Amazon"s People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, applied science, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. The Central Science Team within Amazon"s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians.
Washington, DC17 days ago
With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world. Current directions of the lab include: 1) understanding how we share, understand, and influence others' emotions in ways that affect their depressive symptoms and health, 2) how social and emotional processes go awry in neurodegenerative and neuropsychiatric disorders and contribute to depressive symptoms and health problems, and 3) interventions to influence social and emotional functioning to reduce depressive symptoms and health problems.