Senior data scientist jobs in Fayetteville, NC

The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at ********************************************** JOIN TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data to automate and optimize decisions at scale. Whether you join our Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain, Demand Forecasting, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target's culture, and apply retail domain knowledge. As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with applied data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience PhD/MS in Computer Science, Applied Mathematics, Physics, Data Sciences or relevant industry experience 3+ years end to end experience with applied ML and recommender systems Experience designing and developing deep learning (PyTorch, TensorFlow), machine learning, optimization and statistical models at scale Strong hands-on programming skills in Python and extensive experience with SQL, PySpark, Hive, and/or Scala Experience with ML Ops (Vertex AI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes) Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity Strong problem solving skills; develop innovative solution to help solve real-world business problems using data sciences approaches Able to create documents and narrative suggesting actionable insights Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Team player with ability to collaborate effectively across geographies/time zones This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: ******************************** Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 10/30/2025

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 2+ years of experience with exploratory data analysis using programming languages, including SQL and Python Experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing Ability to explain data insights clearly to both technical and non-technical stakeholders TS/SCI clearance Bachelor's degree Nice If You Have: 2+ years of experience with visualization software, including Qlik or Tableau 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL 2+ years of experience with Machine Learning, AI, or NLP Experience with translating complex data into a compelling narrative that informs and influences a specific audience Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Scientist The application window is expected to close on: 12/05/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Members of the Operations Organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. Meet the Team Join our dynamic team in the newly formed Cisco Automation and AI at the forefront of AI innovation! We're a passionate group of engineers, data scientists, and product experts dedicated to building the future of commerce. We are building an AI Assistant to revolutionize how users interact with our platform. We value collaboration, continuous learning, and the opportunity to make a real-world impact. Position Summary: We are looking for a full-stack Data Scientist who will play a crucial role in designing, developing, and implementing an AI Assistant within our Commerce Platforms. The ideal candidate will have expertise across the entire data science lifecycle, including data engineering, data curation, modeling, and analysis. Additionally, they must possess strong business understanding and excellent communication skills to bridge the gap between technical development and business needs. Your Impact As a Full-Stack Data Scientist, you will be at the heart of creating an intelligent and intuitive AI Assistant. You'll be tackling the challenge of integrating advanced AI capabilities into our commerce platform, allowing you to push the boundaries of what's possible with LLMs and RAG systems. This is an exciting opportunity to shape the future of our commerce platform and see your innovations directly impact thousands of users. Key Responsibilities: Modeling and Analysis: * Assist in the design, development, and optimization of generative AI models. * Perform exploratory data analysis to uncover insights and inform model development. * Continuously monitor and refine models to improve their performance and accuracy. Business Understanding and Communication: * Work closely with business stakeholders to understand their needs and translate them into technical requirements. * Communicate complex technical concepts to non-technical team members and stakeholders. * Provide insights and recommendations based on data analysis to drive business decisions. Feedback Loops and Continuous Improvement: * Establish and manage feedback loops to gather user input and improve the AI Assistant. * Analyze feedback data to identify areas for improvement and implement necessary changes. * Develop strategies to enhance model performance based on user feedback and operational metrics. Trust and Security: * Ensure the integrity and security of data used and generated by the AI Assistant. * Implement measures to maintain user trust and comply with relevant regulations and standards. * Develop protocols to handle sensitive data and ensure its protection. Collaboration and Integration: * Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to ensure seamless integration of the AI Assistant. * Participate in code reviews and contribute to the overall improvement of the development process. * Ensure that the AI Assistant aligns with business goals and delivers a high-quality user experience Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. * Strong programming skills in languages such as Python, R, or Java. * Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or DSPy. * Familiarity with RAG evaluation frameworks and techniques (e.g., Ragas, DeepEval, TruLens). Preferred Qualifications: * Experience with human-in-the-loop (HITL) processes for feedback collection and annotation. * Proven experience as a Data Scientist, with a focus on generative AI and machine learning. * Strong proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow). * Solid understanding of automated evaluation metrics and strategies for LLMs * Strong problem-solving skills and the ability to debug complex AI system behaviors. * Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, and analysis. * Excellent business understanding and the ability to communicate effectively with both technical and non-technical stakeholders. * Experience in building and deploying AI-driven applications, particularly AI Assistants, is a plus. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $134,600.00 to $177,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

**Req ID:** RQ210960 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** Top Secret/SCI **Public Trust/Other Required:** None **Job Family:** Data Science and Data Engineering **Skills:** Business,Data Analysis,Science,Statistical Analysis,Statistics **Experience:** 3 + years of related experience **US Citizenship Required:** Yes **Job Description:** Seize your opportunity to make a personal impact as Data Scientist II supporting mission critical work on an exciting program. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career. At GDIT, people are our differentiator. As a Human Performance Data Scientist II supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Scientist II Technician joining our team. The Human Performance (HP) Data Scientist II supports the program by applying advanced analytical skills to optimize the readiness, resiliency, and performance of Special Operations Forces (SOF) personnel. The position focuses on human performance insights rather than general data science functions. The role works directly with SOF HP staff, with priority on SOF Operators and Direct Combat Support personnel, to evaluate physical, psychological, cognitive, and social performance indicators. **HOW A DATA SCIENTIST II WILL MAKE AN IMPACT:** + The HP Data Scientist II is responsible for entering, cleaning, and analyzing HP data collected through program initiatives. + Works in collaboration with performance teams and the Government biostatistician, the HP Data Scientist II provides subject matter expertise in program evaluation, research methodologies, and applied performance analytics. + Partners with strength coaches, dietitians, athletic trainers, physical therapists, psychologists, and cognitive specialists to identify data collection opportunities that support operational readiness and force preservation. + Supports development of performance dashboards, readiness trends, return to duty outcomes, and longitudinal monitoring products that directly inform commanders and HP leaders. + Prepares reports and presentations that communicate performance trends, risk indicators, and program impact in clear and actionable formats for leadership. + Receives access to Government systems for the purpose of HP data entry, management, and analysis. **WHAT YOU'LL NEED TO SUCCEED:** **EDUCATION:** Master's or Doctoral degree in quantitative science, social science or related discipline. + Must have at least 3 years of research experience in academic, social services, government, healthcare or laboratory settings + Advanced proficiency in statistical software such as SPSS, SAS, or R, with emphasis on applied research and performance analytics. + Demonstrate advanced proficiency through prior work within performance research, sport science, military HP programs, or similar environments where continuous data collection and evaluation occur. + Proficiency is also demonstrated through a record of scientific publications or applied HP research. + Possesses excellent communication skills, strong organizational abilities, and at least three years of experience working in HP, government, healthcare, or research settings. + Proficient with the suite of Microsoft Office programs, including Word, Excel and Access. **LOCATION:** Various CONUS SITES **CLEARANCE:** Ability to obtain and maintain Secret or Top-Secret Clearance. **This is a contingent posting, expected to start in 2026.** **LOCATION:** Various CONUS SITES **GDIT IS YOUR PLACE:** + 401K with company match + Comprehensive health and wellness packages + Internal mobility team dedicated to helping you own your career + Professional growth opportunities including paid education and certifications + Cutting-edge technology you can learn from + Rest and recharge with paid vacation and holidays \#MilitaryHealthGDITJobs The likely salary range for this position is $82,283 - $111,323. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at ******************** Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Data Scientist II Work Environment: Onsite Clearance Required: Secret Status: Funded Knowesis is currently seeking a Data Scientist II to support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long-term well-being of SOF warriors and their families. This work will be performed at the client's location on Fort Bragg, NC. This position requires a Secret Clearance and requires U.S. Citizenship (applicants without proof of US citizenship will not be considered due to the position's security clearance requirement). The Job Duties and Responsibilities include but are not limited to the following: * Conducts advance data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions. * Enter and analyze data within government systems. * Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends, designed to record POTFF-related programmatic data. * Assist the POTFF staff with survey design. Create, analyze, and report survey data. * Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data related to POTFF programs and initiatives. * Work in consultation with POTFF program staff and the Government's POTFF biostatistician. * Provide subject matter expertise in the areas of program evaluation, research methodologies and data analysis. * Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission. Required Qualifications: * Master's degree in quantitative science, social science, or a related discipline. * Advanced proficiency with the suite of Microsoft Office programs, including Word, Excel, and Access * Advanced proficiency with commonly used statistical software applications such as SPSS, SAS, Python, and R-Shiny * Three (3) years, or more, of research experience in academic, social services, government, healthcare, or laboratory setting is required * Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel they will interact with * Possess excellent verbal, written, interpersonal communication, presentation skills, and shall be highly detail-oriented * Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from a diverse background * Advanced proficiency may be demonstrated through an employment history in academia or other settings where the conduct of research is routine. * Proficiency must be further demonstrated by a history of scientific publications Preferred Qualifications: * Doctoral degree in quantitative science, social science, or a related discipline. * Certification or documented experience with Human Performance * Experience working with Special Operations, athletics/sports, or other military settings. * Strong technical and analytical skills in the following: * Data visualization (Power BI, Tableau) * SQL querying & database management * Business analytics & reporting * Predictive modeling & forecasting * Dashboard development4 Benefits: * Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products. Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.

General information Requisition # R64076 Posting Date 11/03/2025 Security Clearance Required Interim Top Secret Remote Type Onsite Time Type Full time Description & Requirements Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH! * This is for a future opportunity* MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Fayetteville, NC. In this role, you will contribute to a mission-focused team that will support military operators and mission partners by leveraging advanced analytics, machine learning, and data engineering techniques to develop innovative solutions that support national security operations. Your work will have a direct impact on operational decisions, helping stakeholders gain timely, data-driven insights. Responsibilities include but are not limited to: * Leading the design and deployment of predictive models, statistical analyses, and data visualization tools in support of operational and strategic missions * Translating complex datasets and analytics into actionable intelligence for technical and non-technical stakeholders * Developing and maintaining data pipelines, ensuring quality, integrity, and compliance with data governance frameworks * Collaborating with Data Engineers and stakeholders to deploy and refine models on Government-furnished MLOps platforms. Evaluating model performance and refining algorithms to improve accuracy, efficiency, and scalability * Documenting methodologies, workflows, and technical findings in support of reproducibility and knowledge transfer * Applying data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. * As part of the C5ISR Team, analyzes complex, large-scale datasets, including imagery, video, and text, to extract actionable insights. * Developing, training, and testing predictive AI/ML models to support C5ISR objectives. Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field OR High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree * 9+ years of relevant experience with 4+ years of position-specific relevant experience leading data science projects and developing complex predictive models. * Demonstrated expertise in Python, R, or equivalent programming languages for statistical computing * Hands-on experience with machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch * Proficiency in data querying and manipulation using SQL or NoSQL databases * Experience working with cloud platforms (AWS, Azure, or GCP) for data science applications Preferred Qualifications: * Master's or Ph.D. in a quantitative discipline * Prior experience supporting Department of Defense or Intelligence Community missions * Knowledge of geospatial analysis and tools such as ArcGIS or QGIS * Experience with containerized deployment (e.g., Docker) and CI/CD pipelines * Familiarity with Agile development methodologies and version control systems (e.g., Git) Clearance Requirements: * Active TS security clearance with SCI Eligibility. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.

The Data Technician Lead will be responsible for the physical installation of cabling, overseeing the work of others, surveying work sites to determining best installation practices, coordinator workflow within the unit, and providing on the job training to other technicians as needed. Essential Functions• Responsible for leading technical teams of varying sizes on small- and large-scale projects • Communication with PM on manpower and material needs • Communication with clients/customers• Serve as a liaison between office and field, communicating all information that is not classified as confidential • Develop project plan including required materials deliver schedules completion schedules manpower requirements and tool/equipment lists • Manage the process of tracking tools and materials to prevent loss • Adhere to safety protocols and complete appropriate documentation • Maintain housekeeping for a safe jobsite • Communication with other trades on jobsite• Ability to monitor project schedule and milestones and provide progress updates as needed• Ability to read and understand all applicable drawings sets including: o Architectural o AV o Electrical (as they relate to telecom) o Reflected Ceiling o Telecommunications o Overall site plans Minimum Qualifications• Proven ability to communicate effectively with both internal and external stakeholders. • Proficient in construction related software (Plan Grid, Bluebeam, etc. ) • BICSI Certified • Knowledge in CAT6A and fiber installations• Knowing and willingness to push back on other trades in an effective and professional level. • Ability to resolve conflict both internal and external. • Ability to create a team atmosphere. • Complete understanding of blueprints and related architectural symbols. • High level of understanding of firestopping principles as it pertains to telecom pathways. • Familiarity with MS office suite and other software suites applicable to the role including but not limited to: o MS Excel o MS Outlook o MS Word o Bluebeam Knowledge, Skills and Abilities • All T1/T2/T3 requirements. • OSHA 30, preferred but not required for hire. Minimal OSHA 10. • Aerial lift certification. • Fall protection certification/training.

Amentum is seeking a **Data Engineer** to support the 389th MI BN Process Exploit and Disseminate (PED) Information collected from identified sensors in **Ft. Bragg, NC** . The Data Engineer will provide support to ensure the integration and visualization of large data sources to support PED operations and all-source analysis. **Essential Responsibilities:** + Provide database engineer support to develop and translate computer algorithms into prototype code and maintain, organize, and identify trends in large data + Support complex IT architecture projects with full competency in data gathering, artifact development, presentation, and completion of enterprise architect (EA) models. The contractor shall apply hardware engineering and software design theories and principles to researching, developing, and reviewing EA products. The contractor shall recommend innovative technologies to enhance the presentation and usage of EA products. The contractor shall provide integrated systems planning. The contractor shall coordinate project team activities and assist with monitoring project schedules and costs. + Formulate and lead guided, multifaceted analytic studies against large volumes of data to interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method to support PED operations. + Use technology to mine complex, voluminous, and different types of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. **Minimum Education/Experience:** + 5+ years of experience in one or more of the following: Business Analysis, Army Special Operations, Intelligence and/or Information Management/Know ledge Management + 5+ years of experience supporting the United States Military preferably SOF elements. + BA/BS from an accredited institution, or former Officer, NCO or Warrant Officer with Military Experience or Intelligence/Knowledge Management background **Required Specialized Qualifications:** + 5+ years of experience with Single Page Application Development and client-side coding, including Jscript, React, Angular, Aurelia, Vue, Ajax, JSON, or REST, such as OData, HTML, or CSS. + 5+ years of experience with two or more of the following: C#, Python, PHP, or Java Knowledge of database architecture and data transformations. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran's status, ancestry, sexual orientation, gender identity, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans (******************************************* and Labor Laws Posters (********************************************************* .

Athenix Special Missions is seeking a **Senior Data Engineer** in **Fort Bragg, North Carolina!** **ASM Quality Policy:** To meet or exceed our customers' expectations for quality, delivery, and service through continual improvement, striving to meet our objectives, and committing to meeting all legal and statutory requirements **Position Overview:** We are seeking a highly skilled and versatile Data Engineer to join our team and play a critical role in designing, building, and optimizing our data infrastructure. This position combines elements of data analysis, engineering, and architecture to ensure the availability, reliability, and accessibility of data for analytics and decision-making. The ideal candidate will have a strong technical background, problem-solving skills, and a passion for working with data, while also collaborating with cross-functional teams to deliver innovative data solutions. **Key Responsibilities:** + Data Infrastructure Design and Development: + Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources. + Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting. + Develop and maintain data models, schemas, and standards to support analytics and operational needs. **_Data Analysis and Insights:_** + Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions. + Analyze large datasets to identify trends, patterns, and actionable insights. + Present findings and recommendations to stakeholders using dashboards, reports, and visualizations. **_Performance Optimization and Monitoring:_** + Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets. + Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability. + Implement data quality checks and validation processes to ensure data integrity. **_Security and Compliance:_** + Implement security measures to safeguard data and systems against unauthorized access and breaches. + Ensure compliance with data governance policies, security standards, and regulatory requirements (e.g., GDPR, HIPAA). + Establish best practices for data management, security, and governance to protect sensitive information. **_Emerging Technologies and Process Improvement:_** + Stay updated on industry trends and emerging technologies to enhance analytical and architectural capabilities. + Identify opportunities to improve data collection, processing, and analysis workflows. + Evaluate and recommend data management tools, technologies, and platforms to meet organizational goals. Requirements **Required:** + **Active TS/SCI** + Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP + Strong programming skills in languages such as Python, Java, or Scala. + Proficiency in data analysis tools and programming languages (e.g., SQL, R). + Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow). + Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Factory). + Proven experience in data modeling, database design, and data architecture frameworks. + Strong analytical and problem-solving skills, with attention to detail. + Excellent communication and collaboration skills to work effectively in cross-functional teams. **Preferred:** + Master's degree in a related field or professional certifications (e.g., AWS Certified Data Analytics, DAMA Certified Data Management Professional). + Familiarity with big data tools and platforms (e.g., Hadoop, Spark, Kafka). + Knowledge of real-time data streaming tools (e.g., Apache Kafka, Flink). + Experience with containerization technologies (e.g., Docker, Kubernetes). + Understanding of machine learning pipelines and data science workflows. + Knowledge of enterprise architecture frameworks (e.g., TOGAF). **Key Competencies:** + Analytical Thinking: Ability to break down complex problems and identify solutions. + Communication: Strong written and verbal communication skills to effectively convey data insights and technical solutions. + Collaboration: Ability to work effectively with cross-functional teams, including analysts, data scientists, and business stakeholders. + Adaptability: Willingness to learn and adapt to new tools, technologies, and methodologies. + Attention to Detail: Commitment to accuracy and thoroughness in data analysis and engineering processes. + Security Awareness: Understanding of data security principles and ability to implement measures to protect sensitive information. **_Equal Opportunity Employer, including disability and protected veteran status_**

CooperDouglas has partnered with an established aviation manufacturing company near Smithfield is seeking a hands-on technology professional to lead its ERP operations. This position will support production, supply chain, and finance by improving systems, reporting, and overall data flow across the organization. If you want to play a lead role in a full-scale ERP transformation within a respected aviation manufacturing group, this is the place to do it. This is a stable, well-run environment with strong leadership and the ability to make quick, meaningful changes. You will have exposure to key decision makers and the freedom to shape processes that directly influence performance and growth. What You'll Do Act as the lead resource for ERP configuration, maintenance, and improvement Oversee the transition from Oracle EBS to Infor CloudSuite Industrial and ensure a successful implementation Collaborate with cross-functional teams to streamline data, reporting, and analytics Troubleshoot issues, enhance systems, and guide users through process improvements Support technology planning and data initiatives across departments What You'll Bring Experience with Infor CloudSuite Industrial and Oracle EBS is required Proven success leading multiple ERP implementations from start to finish Strong analytical ability and independence in problem solving and execution Experience within manufacturing, aviation, logistics, or large data-driven industries Degree in Information Systems is ideal The Offer Base salary between 110K-160K depending on experience plus annual bonus Excellent benefits, 401K match, and strong long-term stability

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at ********************************************** JOIN US AS A SENIOR DATA SCIENTIST - STORE AND PROPERTIES About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target's culture, and apply retail domain knowledge. Pyramid Overview: A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview: The Stores and Properties Data Science team supports many different initiatives from payroll forecasting, optimization for stores fulfillment planning, work that influences sustainable energy solutions in stores, and simulation for operations to just to name a few. Come join a collaborative team working on exciting solutions for our stores and properties partners. Position Overview: As a Sr Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. You'll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. You'll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Target's Stores. Gain an in-depth understanding of systems and processes influencing stores' efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop forecasting models, mathematical models (probabilistic/deterministic models), and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. Partner with cross functional teams to deliver on business objectives Provide financial insight and guidance to business partners and leadership Drive efficiencies across analytics and reporting processes using automation Deliver meaningful insights to business teams, partners and stakeholders that support meaningful decisions. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience 3 plus years of professional experience in applying Machine Learning models to solve complex problems in Retail or related domains Demonstrated programming experience in Python, R, SQL or Scala and the ability to learn and apply new languages and test-driven development Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Extensive knowledge of mathematical and statistical concepts, forecasting, data structures, algorithms, data analysis, and visualizations applied to business problems Experience deploying solutions in ML Ops with large-scale business impacts Self-driven and results-oriented, with the ability to meet tight timelines Strong team player with the ability to collaborate across geographies/time zones Excellent written and verbal communication skills Forecasting experience desired This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: ******************************** Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 10/30/2025

Data Scientist The application window is expected to close on: 12/05/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Members of the Operations Organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. Meet the Team Join our dynamic team in the newly formed Cisco Automation and AI at the forefront of AI innovation! We're a passionate group of engineers, data scientists, and product experts dedicated to building the future of commerce. We are building an AI Assistant to revolutionize how users interact with our platform. We value collaboration, continuous learning, and the opportunity to make a real-world impact. Position Summary: We are looking for a full-stack Data Scientist who will play a crucial role in designing, developing, and implementing an AI Assistant within our Commerce Platforms. The ideal candidate will have expertise across the entire data science lifecycle, including data engineering, data curation, modeling, and analysis. Additionally, they must possess strong business understanding and excellent communication skills to bridge the gap between technical development and business needs. Your Impact As a Full-Stack Data Scientist, you will be at the heart of creating an intelligent and intuitive AI Assistant. You'll be tackling the challenge of integrating advanced AI capabilities into our commerce platform, allowing you to push the boundaries of what's possible with LLMs and RAG systems. This is an exciting opportunity to shape the future of our commerce platform and see your innovations directly impact thousands of users. Key Responsibilities: Modeling and Analysis: * Assist in the design, development, and optimization of generative AI models. * Perform exploratory data analysis to uncover insights and inform model development. * Continuously monitor and refine models to improve their performance and accuracy. Business Understanding and Communication: * Work closely with business stakeholders to understand their needs and translate them into technical requirements. * Communicate complex technical concepts to non-technical team members and stakeholders. * Provide insights and recommendations based on data analysis to drive business decisions. Feedback Loops and Continuous Improvement: * Establish and manage feedback loops to gather user input and improve the AI Assistant. * Analyze feedback data to identify areas for improvement and implement necessary changes. * Develop strategies to enhance model performance based on user feedback and operational metrics. Trust and Security: * Ensure the integrity and security of data used and generated by the AI Assistant. * Implement measures to maintain user trust and comply with relevant regulations and standards. * Develop protocols to handle sensitive data and ensure its protection. Collaboration and Integration: * Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to ensure seamless integration of the AI Assistant. * Participate in code reviews and contribute to the overall improvement of the development process. * Ensure that the AI Assistant aligns with business goals and delivers a high-quality user experience Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. * Strong programming skills in languages such as Python, R, or Java. * Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or DSPy. * Familiarity with RAG evaluation frameworks and techniques (e.g., Ragas, DeepEval, TruLens). Preferred Qualifications: * Experience with human-in-the-loop (HITL) processes for feedback collection and annotation. * Proven experience as a Data Scientist, with a focus on generative AI and machine learning. * Strong proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow). * Solid understanding of automated evaluation metrics and strategies for LLMs * Strong problem-solving skills and the ability to debug complex AI system behaviors. * Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, and analysis. * Excellent business understanding and the ability to communicate effectively with both technical and non-technical stakeholders. * Experience in building and deploying AI-driven applications, particularly AI Assistants, is a plus. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $134,600.00 to $177,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

**MANTECH** seeks a motivated, career and customer-oriented **Data Scientist** to join our team in **Fayetteville, NC** . In this role, you will contribute to a mission-focused team that will support military operators and mission partners by leveraging advanced analytics, machine learning, and data engineering techniques to develop innovative solutions that support national security operations. Your work will have a direct impact on operational decisions, helping stakeholders gain timely, data-driven insights. **Responsibilities include but are not limited to:** + Leading the design and deployment of predictive models, statistical analyses, and data visualization tools in support of operational and strategic missions + Translating complex datasets and analytics into actionable intelligence for technical and non-technical stakeholders + Developing and maintaining data pipelines, ensuring quality, integrity, and compliance with data governance frameworks + Collaborating with Data Engineers and stakeholders to deploy and refine models on Government-furnished MLOps platforms. Evaluating model performance and refining algorithms to improve accuracy, efficiency, and scalability + Documenting methodologies, workflows, and technical findings in support of reproducibility and knowledge transfer + Applying data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. + As part of the C5ISR Team, analyzes complex, large-scale datasets, including imagery, video, and text, to extract actionable insights. + Developing, training, and testing predictive AI/ML models to support C5ISR objectives. **Minimum Qualifications:** + Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field OR High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree + 9+ years of relevant experience with 4+ years of position-specific relevant experience leading data science projects and developing complex predictive models. + Demonstrated expertise in Python, R, or equivalent programming languages for statistical computing + Hands-on experience with machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch + Proficiency in data querying and manipulation using SQL or NoSQL databases + Experience working with cloud platforms (AWS, Azure, or GCP) for data science applications **Preferred Qualifications:** + Master's or Ph.D. in a quantitative discipline + Prior experience supporting Department of Defense or Intelligence Community missions + Knowledge of geospatial analysis and tools such as ArcGIS or QGIS + Experience with containerized deployment (e.g., Docker) and CI/CD pipelines + Familiarity with Agile development methodologies and version control systems (e.g., Git) **Clearance Requirements:** + Active TS security clearance with SCI Eligibility. **Physical Requirements:** + The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.

Key Role: Join a high-impact team supporting special operations with advanced data engineering capabilities across multiple networks. Enable key leaders across multiple directorates to access critical business data, operational analytics, and mission-critical information, allowing them to make informed decisions rapidly. Assist in establishing a holistic data infrastructure by creating and sustaining secure data pipelines across multi-domain networks. Basic Qualifications: 3+ years of experience in application development and data transformation logic using Python and PySpark 3+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics Experience with data governance and cybersecurity protocols, including SOF and DoD standards Experience creating solutions within a collaborative, cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats, support to the project team to scale, monitor, and operate data platforms TS/SCI clearance Bachelor's degree Additional Qualifications: Experience with design and deployment of data infrastructure on cloud environments, including AWS, Microsoft Azure, or Google Cloud, utilizing cloud native tools such as AWS Redshift, S3, BigQuery, or Databricks Experience with Docker and Kubernetes Experience implementing CI/CD best practices Master's degree in Data Engineering or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job DescriptionDescription: Athenix Special Missions is seeking a Senior Data Engineer in Fort Bragg, North Carolina! ASM Quality Policy: To meet or exceed our customers' expectations for quality, delivery, and service through continual improvement, striving to meet our objectives, and committing to meeting all legal and statutory requirements Position Overview: We are seeking a highly skilled and versatile Data Engineer to join our team and play a critical role in designing, building, and optimizing our data infrastructure. This position combines elements of data analysis, engineering, and architecture to ensure the availability, reliability, and accessibility of data for analytics and decision-making. The ideal candidate will have a strong technical background, problem-solving skills, and a passion for working with data, while also collaborating with cross-functional teams to deliver innovative data solutions. Key Responsibilities: Data Infrastructure Design and Development: Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources. Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting. Develop and maintain data models, schemas, and standards to support analytics and operational needs. Data Analysis and Insights: Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions. Analyze large datasets to identify trends, patterns, and actionable insights. Present findings and recommendations to stakeholders using dashboards, reports, and visualizations. Performance Optimization and Monitoring: Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets. Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability. Implement data quality checks and validation processes to ensure data integrity. Security and Compliance: Implement security measures to safeguard data and systems against unauthorized access and breaches. Ensure compliance with data governance policies, security standards, and regulatory requirements (e.g., GDPR, HIPAA). Establish best practices for data management, security, and governance to protect sensitive information. Emerging Technologies and Process Improvement: Stay updated on industry trends and emerging technologies to enhance analytical and architectural capabilities. Identify opportunities to improve data collection, processing, and analysis workflows. Evaluate and recommend data management tools, technologies, and platforms to meet organizational goals. Requirements: Required: Active TS/SCI Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP Strong programming skills in languages such as Python, Java, or Scala. Proficiency in data analysis tools and programming languages (e.g., SQL, R). Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow). Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Factory). Proven experience in data modeling, database design, and data architecture frameworks. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred: Master's degree in a related field or professional certifications (e.g., AWS Certified Data Analytics, DAMA Certified Data Management Professional). Familiarity with big data tools and platforms (e.g., Hadoop, Spark, Kafka). Knowledge of real-time data streaming tools (e.g., Apache Kafka, Flink). Experience with containerization technologies (e.g., Docker, Kubernetes). Understanding of machine learning pipelines and data science workflows. Knowledge of enterprise architecture frameworks (e.g., TOGAF). Key Competencies: Analytical Thinking: Ability to break down complex problems and identify solutions. Communication: Strong written and verbal communication skills to effectively convey data insights and technical solutions. Collaboration: Ability to work effectively with cross-functional teams, including analysts, data scientists, and business stakeholders. Adaptability: Willingness to learn and adapt to new tools, technologies, and methodologies. Attention to Detail: Commitment to accuracy and thoroughness in data analysis and engineering processes. Security Awareness: Understanding of data security principles and ability to implement measures to protect sensitive information. Equal Opportunity Employer, including disability and protected veteran status

Amentum is seeking a Data Engineer to support the 389th MI BN Process Exploit and Disseminate (PED) Information collected from identified sensors in Ft. Bragg, NC. The Data Engineer will provide support to ensure the integration and visualization of large data sources to support PED operations and all-source analysis. Essential Responsibilities: Provide database engineer support to develop and translate computer algorithms into prototype code and maintain, organize, and identify trends in large data Support complex IT architecture projects with full competency in data gathering, artifact development, presentation, and completion of enterprise architect (EA) models. The contractor shall apply hardware engineering and software design theories and principles to researching, developing, and reviewing EA products. The contractor shall recommend innovative technologies to enhance the presentation and usage of EA products. The contractor shall provide integrated systems planning. The contractor shall coordinate project team activities and assist with monitoring project schedules and costs. Formulate and lead guided, multifaceted analytic studies against large volumes of data to interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method to support PED operations. Use technology to mine complex, voluminous, and different types of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. Minimum Education/Experience: 5+ years of experience in one or more of the following: Business Analysis, Army Special Operations, Intelligence and/or Information Management/Know ledge Management 5+ years of experience supporting the United States Military preferably SOF elements. BA/BS from an accredited institution, or former Officer, NCO or Warrant Officer with Military Experience or Intelligence/Knowledge Management background Required Specialized Qualifications: 5+ years of experience with Single Page Application Development and client-side coding, including Jscript, React, Angular, Aurelia, Vue, Ajax, JSON, or REST, such as OData, HTML, or CSS. 5+ years of experience with two or more of the following: C#, Python, PHP, or Java Knowledge of database architecture and data transformations. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran's status, ancestry, sexual orientation, gender identity, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans and Labor Laws Posters.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team At Cisco IT, you will join a collaborative group of builders, innovators, and change agents. Our team brings together expertise in: CRM architecture, Data governance, Sales and partner compensation and AI and automation We believe the best ideas come from diverse voices and bold thinking. You'll have the support and resources to learn, grow, and make a meaningful impact. Your Impact As a Data Engineer at Cisco, you will: * Build and support integrated data solutions that power business analytics and machine learning * Ensure data is high-quality, accessible, and easy to use * Enable smarter decisions, optimize marketing investments, and enhance customer experiences * Make complex data understandable and actionable * Collaborate across teams to deliver meaningful solutions for a global community Minimum Qualifications * Enrolled in or recently graduated from a technical degree or certification program (e.g., Technical Boot Camp, Apprenticeship, Community College, or 4-Year University) * AI literacy and a cloud-first mindset * Familiarity with agile methodologies and data-driven approaches * Experience or familiarity with databases (e.g., MySQL, PostgreSQL, MongoDB) and big data frameworks (e.g., Hadoop, Spark) * Able to legally live and work in the United States without visa support or sponsorship Preferred Qualifications * Experience with RESTful API design and development for data integration * Experience with business intelligence tools such as Tableau * Understanding of security best practices in data encryption, secure data transfer, and access controls * Knowledge of full-stack development for comprehensive data solutions Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $123,600.00 - $200,100.00 Non-Metro New York state & Washington state: $109,900.00 - $181,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

**MANTECH** seeks a motivated, career and customer-oriented **Data Engineer** to join our team in **Fayetteville, NC** . In this role, you will contribute to a mission-focused team that will support military operators and mission partners by leading the design, development, and maintenance of robust data architectures and pipelines to support advanced analytics and decision-making for critical operations. You will collaborate with cross-functional teams to ensure data integrity, scalability, and performance across enterprise-level systems. **Responsibilities include but are not limited to:** + Designing and implementing scalable and resilient data pipelines for structured and unstructured data sources + Developing ETL/ELT processes and integrating disparate data systems + Optimizing data storage solutions using relational, NoSQL, and cloud-based technologies + Building data models and data marts to support business intelligence and machine learning applications + Collaborating with data scientists, analysts, and software engineers to support end-to-end data solutions + Ensuring data quality, governance, and compliance with security policies + Automating data validation, testing, and monitoring processes to maintain data health + Identifying and implementing performance improvements for large-scale data workflows + Establishing best practices for data engineering, data quality, and data governance to support the full lifecycle of C5ISR data. **Minimum Qualifications:** + Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field OR High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree + 9+ years of professional experience in data engineering or a related discipline + Expertise with modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow) + Strong SQL skills and experience with Python or Scala for data manipulation + Hands-on experience with cloud platforms such as AWS, Azure, or GCP + Knowledge of data warehousing solutions like Snowflake, Redshift, or BigQuery + Experience with CI/CD practices and version control systems like Git **Preferred Qualifications:** + Master's degree in Data Science, Computer Science, or related field + Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) + Exposure to DevSecOps practices in a mission-critical environment + Certification in cloud technology (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.) **Clearance Requirements:** + Active Top Secret security clearance with SCI eligibility **Physical Requirements:** + The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.