Data scientist jobs in Glen Burnie, MD - 2,561 jobs

Application deadline: Jan 16, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs - Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services - Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS: Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience developing software code in one or more programming languages (java, python, etc.) - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred Qualifications - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with coding, automation and scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base pay range for this position is listed below. Hourly pay ranges include the base pay rate plus the highest available shift differential which applies depending on the shift you select. Colorado $131,300 - $177,600 annually / hourly National $118,200 - $204,300 annually / hourly For salaried roles, your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ***************************************************** . For hourly roles, as a total compensation company, you are eligible for additional earnings including overtime pay and performance bonuses. Final pay will be based on factors including shift selection and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at ********************************************* .

Become a part of our caring community and help us put health first Join Humana's Financial Planning & Analysis team, part of the CFO team, which drives aggregate financial results and insights across primarily Individual Medicare Advantage (MA). This team serves as a central hub for financial strategy and analysis, with connections to enterprise-wide and total Insurance perspectives. The Actuary Analytics/Forecasting role offers flexibility in responsibilities, significant exposure to senior leadership, and strong potential for upward mobility. We seek candidates who are willing to think creatively, challenge assumptions, voice opinions on key drivers and ranges, and contribute to a culture of continuous improvement and healthy debate. The Actuary, Analytics/Forecasting analyzes and forecasts financial, economic, and other data to provide accurate and timely information for strategic and operational decisions. Establishes metrics, provides data analyses, and works directly to support business intelligence. Evaluates industry, economic, financial, and market trends to forecast the organization's short, medium and long-term financial and competitive position. The Actuary, Analytics/Forecasting works on problems of diverse scope and complexity ranging from moderate to substantial. The Actuary, Analytics/Forecasting ensures data integrity by developing and executing necessary processes and controls around the flow of data. Collaborates with stakeholders to understand business needs/issues, troubleshoots problems, conducts root cause analysis, and develops cost effective resolutions for data anomalies. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. Use your skills to make an impact Required Qualifications Bachelor's Degree FSA or ASA plus relevant advanced degree, recent and relevant work experience, and/or other relevant professional designations. MAAA Strong communication skills Experience in more than two functions (e.g., modeling, pricing, rate filing, reporting & analysis, reserving or trending) Preferred Qualifications Medicare Advantage pricing and forecasting experience Experience working with aggregate financials across insurance products or enterprise-level financial planning Demonstrated ability to challenge existing assumptions and propose creative solutions Additional Information Humana is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. For more information on Humana careers, please visit Humana Careers (******************************** Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $129,300 - $177,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline 01-30-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our *************************************************************************** #J-18808-Ljbffr

A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment. #J-18808-Ljbffr

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.* Lead modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS.* Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.* Collaborate with key stakeholders from business line valuation, ALM, risk management, financial/risk reporting, etc.* Embrace new technologies to improve workflows.* Design and build external or embedded controls to mitigate operating risks in workflows.* Apply risk management techniques and procedures, including the company's mandated risk methodologies.* Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.* Serve as a company-wide expert in multiple specialties, including portfolio yield projections.* Act as a subject matter expert for colleagues with less experience.* Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.* Design and lead multiple projects, with accountability for ongoing activities and objectives.* Review the work of others, providing direction and insight on research solutions to problems presented.* Develop staffing plans, recruit qualified candidates, and develop internal staff resources.* Lead multiple advanced research projects.* Interpret internal or external issues and recommend solutions/best practices.* Solve complex problems; take a broad perspective to identify solutions.* Build efficient models and processes* Apply judgment to modeling choices in a defensible manner.* Assess the materiality of various modeling and data choices.* FSA or equivalent professional designation along with Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics or related field, and 8 years of relevant experience. In lieu of Bachelor's, will accept Master's in a listed discipline and 6 years or relevant experience. In lieu of FSA will accept ASA or equivalent professional designation and 14 years of relevant experience.* Demonstrates high quality leadership, judgment, organization and prioritization skills.* Exhibits effective management skills to motivate and develop a staff.* Effectively communicates, both verbally and in writing, advanced mathematical and analytical concepts to various audiences.* Works well under pressure and within time constraints to effectively accomplish individual and team objectives.* Experience with asset liability management practices* Comprehensive understanding of investment and finance concepts to creatively solve complex analytical problems* Leadership capabilities to direct teams and projects* Advanced degree* Insurance or asset/derivatives modeling experience* AXIS software experience- The Salary for this position generally ranges between $157,000 - $175,000 annually. ***Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including***qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.* Pension Plan* 401k Match* Employee Stock Purchase Plan* Tuition Reimbursement* Disability Insurance* Medical Insurance* Dental Insurance* Vision Insurance* Employee Discounts* Career Training & Development Opportunities #J-18808-Ljbffr

P&C Actuary opening in Washington, DC. Perform quarterly reserving and financial reporting (eg, Schedule P) for General Liability, Property, Professional Liability, Mobile Homes, and Warranty lines. Manage small staff. Interact with Pricing and Claims. Ideal candidate is ACAS or FCAS with 5+ years of P&C experience, including strong reserving; knowledge of IFRS-17 a plus. (PR13050D)

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

Job Description Computer Technologies Consultants (CTC) is seeking a Data Scientist to support the Defense Intelligence Agency (DIA) in Washington, DC. With offices in Washington DC and San Diego, CA, CTC is a leading technology company providing lifecycle IT, data analytics, cloud managed hosting services, agile software development, DevOps, Test Automation, Cyber Security, and infrastructure solutions. Additionally, we provide Professional Talent Acquisition Services as we proudly support the unique needs of U.S. Defense, Intelligence, and Federal Civilian agencies as well as Fortune 1000 companies. Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well look no further! Experience this family-oriented company who takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with our client you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of and work in collaborative, dynamic, and high-tempo environments. Our clients' employees are their most valued asset and they invest in their people because they are in it for the long term. They are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities world-wide. Why Should You Be Interested? Direct hire full-time position Competitive base salary and comprehensive benefits Mid-size company with room for growth Position Title: Data Scientist Position Location: This position is full time, on-site in the National Capital Region Daily Responsibilities: Oversee data normalization, building tables, moving data, writing data scripts, installation, configuration, and data integration. Responsibility for discovery, service mapping, configuration management, and event management using MID Servers and best practices. Maintain and update the data dictionary, metadata, and SOPs for data-related tasks, ensuring compliance with DIA security and configuration standards. Collaborate with platform teams to design scalable, efficient data architectures that enable dashboarding, KPI reporting, and Configuration Management Database (CMDB) health monitoring. Participate in data validation, DR/COOP testing, platform upgrades, and ensure data integrity across environments (dev, test, prod). Monitor data pipelines for errors or anomalies and propose continuous improvements. Ensure all activities align with ATO, NIST 800-53, and DoDIIS data handling guidance. Required Years of Experience (min): Five (5) years of experience in ServiceNow or a related field. Required Degree/Certifications: Bachelor's degree in Computer Science, Statistics, Mathematics, a related field, or equivalent related professional experience. ServiceNow Certified Implementation Specialist (CIS) for Discovery or Service Mapping (required). Required Experience & Expertise in the following areas: Hands-on experience with data scripting, ETL, and data integration tools in enterprise environments. Strong understanding of ServiceNow Discovery, Service Mapping, CMDB, and Event Management. Proven experience in data modeling, normalization, and database design. Familiarity with scripting languages such as JavaScript, Python, or PowerShell. Knowledge of IT infrastructure, systems management, and service dependency mapping. Ability to troubleshoot and resolve data-related issues quickly and efficiently. Strong analytical and problem-solving skills, with the ability to communicate technical findings to non-technical audiences. Required Clearance: Must be eligible for a TS/SCI clearance with CI polygraph (active clearance preferred) Pay Information Full-Time Salary Range: $230k-$250k Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Computer Technologies Consultants, Inc. is an Equal Opportunity Employer that provides employment opportunities for all qualified applicants without regard to race, color, religion, gender identity and/or expression, sexual orientation, age, mental or sensory differing abilities, protected veteran status, sex, national origin, or any other characteristic protected by applicable law. Computer Technologies Consultants, Inc. is devoted to diversity, equity, and inclusion.

Job Description 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

LMI is seeking a Data Scientist to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations. Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results Understand and analyze complex and organization-specific datasets Define and develop techniques to integrate, consolidate, and structure data for analytical use Support the maturation of data quality Support the transformation of businesses process through automation Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools Collaborate with the team internal and external timely and proactively Provide regular detailed reporting to management and customers Develop briefing packages to communicate complex ideas to non-technical customers Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers Qualifications Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 5 years in data analytics or related Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. Excellent communication skills, written and oral Proven ability to work with business customers and technical teams Highly organized and able to manage multiple projects simultaneously Excellent customer relationship management skills Innovative problem-solving skills and ability to thrive in a fast-paced environment Ability to work on client site in either Reston, VA or Washington, D.C Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade. Desired: Masters degree or higher Advanced knowledge of SQL or Python Experience using python libraries to build regression models and decision trees Experience with version control software like Git Management consulting experience desired Experience working with unstructured text and natural language processing Experience with deploying and maintaining models in production Previous experience with people analytics #LI-SH1 Target Salary Range: $150,000-$200,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Syntelligent is seeking a full time Data Scientist for an immediate opening available with a government customer.*** This is a pipeline position*** Location: Joint Base Anacostia Bolling, DC! Schedule: Day/ M-F Anticipated Salary Range: $107,000-$115,000 Qualifications: Required Qualifications: 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of target data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Clearance: TS/SCI Mental Requirements: Must be able to multi-task and rapidly change priorities with limited notice. Physical Requirements: Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally. Preferred Qualifications: Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel MBA An active CI polygraph Online applications, please. When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity employer. It is the policy of Syntelligent to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex (including pregnancy), national origin, age, disability and genetic information, protected veteran status and will not be discriminated against based on disability or any protected characteristic. Syntelligent's policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. If you need assistance or an accommodation in Syntelligent's online application process, please contact our Human Resources Office at ************, Extension #505.

General Information Job Code: SHR-DM-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about turning complex data into actionable insights? As a Health Data Scientist focused on AI & Clinical Data supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. Successful candidates will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will ensure that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use so that technical progress translates into meaningful clinical insight and patient impact. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. Requirements Minimum Education and Experience: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 7+ years of relevant professional experience with 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Basic Requirements: Hands-on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high-quality technical materials. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA-style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast-paced, multi-stakeholder, or early-stage environments. About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

Apogee Solutions is seeking a Data Scientist to support the United States Air Force's Deputy Chief of Staff for Training and Readiness at the Pentagon. Qualified candidates must have a Top Secret clearance. The Data Scientist will assist the Senior Data Scientist in all aspects and is the Assistant Team Lead. The Training and Readiness Directorate is the Air Staff's focal point to assist, orchestrate, and implement readiness analysis actions for current and future operations across the Air Force, to include weapons system sustainment, operational training infrastructure, critical skills personnel shortages, flying hour analysis, and deployment ratios. The Data Scientist will: * Explain and defend AF readiness analytic models, conclusions, projections, and data during annual audits from OSD Capabilities (CAPE), Government Accounting Office, and Office of Management and Budget (OMB). * Assist by directing team to modify, update, and use appropriate model, computer program, database, or similar tool, to include Government-owned models and tools; commercial analytic tools; and Microsoft office and other graphic and presentation programs. * Assist in updating products determined by Government lead, to include senior leader guidance, budgetary, strategy, policy or other variable changes, as required. * Assist the Senior Data Scientist by representing AF Readiness Division and team's predictive analytics to peer, military, Op Research community professional conferences, cross-talks, seminars and other events. Interacts with academic and analytic organizations (military and civilian) such as universities RAND, and IDA to keep current with the latest trends and techniques in the analytic industry. * Provide expertise on use and implementation of an agile model and analytical software. * Demonstrate proficiency in adaptation, verification, validation, and accreditation of core readiness. * Maintain and improve emerging technologies and respective databases to provide adaptive predictive readiness and readiness reporting analysis that enables data exchange automation with authoritative data sources. * Maintain a configuration management plan and system documentation activity. * Maintain document change proposals and emerging requirements. * Maintain and update the current model and database sustained with required authoritative databases, as appropriate. * Update and maintain requirements document based on current and future format and standards with each module's current and future capability. * Provide software management to update and maintain adaptability to emerging requirements. * Monitor the state of the authoritative databases used to incorporate DRRS lexicon and associated predictive analysis relevant data environments. * Review, update, and provide the necessary self-paced guides and user manuals for system users to operate the system. * Maintain and provide comprehensive support to a predictive readiness system users/user group. * Maintain and provide support to increase predictive capability breadth and depth expanding tools, techniques, and expertise to fielded systems and/or systems matured in operational concept during this period. * Maintain and provide dedicated effort to refinement and enhancements of the model/tool with focus on impacts resulting from resourcing and policy decisions under consideration in the flying hours, operational training, aircraft availability and weapons system sustainment trade space, comparing to and aligning with real world collected data. * Maintain and update a predictive modeling approach with the necessary breadth and depth to analyze Combat Air Force (CAF), Mobility Air Force (MAF), Intelligence Surveillance and Reconnaissance (ISR), Special Operations (SOF), Personnel Recovery (PR), Command and Control (C2), Remotely Piloted Aircraft (RPA), Space, Cyberspace, and any other force elements. * Recommends, identifies, and selects appropriate model, computer program, database, or similar tool to employ in order to answer questions characterized by variable which are multidisciplinary, cross-domain, complex, non-linear, and ever- changing. * Provide means and methods to generate legitimate representations of the readiness phenomena in environments characterized by ambiguous and incomplete data. * Identifies the role of non-linear influences and to adequately consider interdependency and co-dependency within the variable sets. * Addresses feedback loops and the influences they have on the generation of vicious and virtuous cycles. Required Experience * Active DOD Top Secret Clearance * Masters in modeling and simulation, operations research, or an equivalent mix of analysis experience combined with an advanced academic degree * Minimum of 10 years of combined experience to include analysis and military service at the tactical, operational, and strategic levels * Minimum of 5 years of experience in the analysis of operational readiness matters including relating corporate processes to operational readiness outcomings * Minimum of 5 years of experience leading analytics teams and Air Force operations teams * Minimum of 5 years of experience in USAF operations units (squadron, group, wing) including aircraft, space, nuclear, cyber, C5ISR missions; experience will include training, operations scheduler, instructor/evaluator positions * Minimum 3 years of experience on or supporting the Air Staff or an equivalent strategic level staff * Experience in joint, combined, inter-agency positions such as operations, strategy, planning, policy, exercises, and international security cooperation/partnership * Ability to direct team members in modifying, updating, and using computer generated models * Capable of explaining and defending Air Force readiness analytic models, conclusions, projections, and data during annual audits * An active profile in the field publishing papers, attending conferences, and serving on advisory panels in the interest of AF readiness is desired

Title Data Scientist ID 10000223 Department Information Technology Evans & Chambers Technology is seeking a highly motivated Data Scientist to join our team! Evans & Chambers partners with the US national defense community to create fully integrated, resilient, and innovative digital solutions that enable them to make smart decisions in real-time. We work with our customers on everything from conquering their data to improving and safeguarding IT infrastructure. Our ultimate goal? To enhance our nation's ability to identify, address, and act - no matter what challenges arise. Clearance: TS/SCI with CI Poly Location: Washington, DC and Arlington, VA Responsibilities: * 4-10 plus years' experience in Data Science or Data Engineering * Provides comprehensive support for intelligence processing by offering expert guidance on developing solutions for errors detected in collected intelligence data. * Analyzes inconsistencies, anomalies, and data gaps using advanced analytical tools and machine learning techniques to enhance the accuracy and reliability of intelligence reporting. * Develops data-driven methodologies to refine data validation processes and optimize error detection within intelligence workflows. * Assists in researching, understanding, and integrating emerging technologies to improve intelligence processing capabilities and enhance data quality across multiple intelligence disciplines. * Offers expert guidance on implementing corrective solutions by designing algorithms and automated processes that mitigate systemic errors in intelligence collection. * Applies statistical modeling, data visualization, and predictive analytics to refine intelligence processing techniques and enhance operational decision-making. * Works with intelligence teams to develop tailored solutions that address data inconsistencies, improve collection methodologies, and streamline analytical processes. * Provides structured recommendations to strengthen intelligence processing frameworks, optimize resource utilization, and improve overall intelligence data integrity. * Actively supports Amentum's implementation of the B2C2WG (Boards, Bureau, Centers, Cells, and Working Groups) model. Degrees and Desired Certifications: * Bachelor of Science in related field * ICAgile Certified Professional * IBM Professional Data Scientist All employment opportunities are made without regard to age, race, creed, color, religion, sex national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.