Senior data scientist jobs in Virginia

As a Senior Data Scientist, you will support our Maritime Engineering, Technology & Sustainment (METS) Business Unit which is responsible for industry-leading capabilities in naval ship and submarine design, systems and engineering services, and production support, logistics and in-service sustainment. This position is contingent upon your ability to obtain/maintain/transfer an active DoD Secret security clearance. Hybrid opportunity in the National Capital Region/Washington, DC. This position complements Serco's other engineering capabilities in shipboard, shore and systems installation and upgrade services to the Navy. You will join a team that is responsible for a multitude of various design efforts using software development tools which will include different US Navy Programs and contracts, as well as commercial vessels and systems. In your role, you will be utilizing a variety of different tools and software programs possibly involving disparate databases and software applications. You will also assist in the preparation of reports to describe your analysis and design efforts and being responsible for summarizing results for customers and higher authorities. This is an exciting hybrid opportunity to join a highly engaged and collaborative engineering team. In this role, you will: Perform ETL (Extract, Transform, Load) operations on multiple data sources and data types across multiple types of databases with various access controls. Data types include text documents, text documents with figures and plots, drawings in different formats, e.g., MS Office (Word, PowerPoint, Excel, Visio) and PDFs (documents, drawings). The documents are related to USN Requirements which are managed in IBM DOORS NextGen. Develop and apply natural language processing (NLP), machine learning, and potentially Large Language Models (LLMs), e.g., GPT, RAG, BERT, to documents and data. Meet your Recruiter: Qualifications To be successful in this role, you will have: A United States citizenship and able to obtain a DoD Secret security clearance. A Bachelor of Science in Data Science or equivalent degree from an accredited university. At least 5 years of industry experience spanning: Extract, Transform, Load (ETL) operations on multiple types of databases and data categories; experience with Sharepoint, MS 365, SQL, and Power Platform. Experience developing and applying natural language processing tools and machine learning tools to find, parse, and extract patterns or targeted data sets. Knowledge of some or all of these Python libraries/frameworks: nltk, spacy, pandas, scikit-learn, seaborn, NumPy, scikit-learn, matplotlib, PyTorch, Stanford Core NLP. To be self-motivated with a strong work initiative and attention to detail. A strong customer service, critical thinking, and problem-solving skills. To be able to work and collaborate with multiple engineering disciplines across multiple disciplines and basic understanding of physical systems technical requirements. To be proficient in programming languages (one of the following): SQL, R, or Python. The ability to work independently, spot opportunities to streamline tasks, and make recommendations. To be skilled at presenting findings to both technical and non-technical audiences. The ability to travel 10%. Additional desired experience and skills: Active Secret Clearance. Master's degree in data science or equivalent from an accredited University. Development and application of APIs including REST across multiple types of databases and data types. Programming Languages: Python, Java, C++. Development of macros in Excel and Word. Ability to create clear and compelling data visualizations using tools like MATLAB, Tableau, Power BI, or Plotly. Develop or use APIs (e.g., REST) across multiple heterogeneous database types and data categories. Experience with data mining and use of Graph databases (e.g.,Neo4j, MarkLogic). Experience with IBM DOORS NextGen and developing scripts for DOORS NextGen/use of DOORS NextGen API and Dassault's Cameo Systems Modeler. Experience working within an Agile (Kanban, Scrum) environment. Experience with SySML or UML and JavaScript. If you are interested in supporting and working with our military and sailors and a passionate Serco team - then submit your application now for immediate consideration. It only takes a few minutes and could change your career! In compliance with state and local laws regarding pay transparency, the salary for this role is $97,787.27 to $162,978.79, however, Serco considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. Company Overview Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************************ If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email *********************. Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

PenFed is hiring a (Hybrid) Sr Data Scientist - NPV Modeling at our Tysons, Virginia location. The primary purpose of this job will be to develop, maintain, and enhance Auto or Personal Loan Net Present Value (NPV) calculator using predictive models and analytics solutions that enhance our understanding of lifetime value. This role will also support the official, first-line loss forecast for Auto portfolio. This role will work closely with both the consumer credit policy team and the credit risk management teams which will use the models to support credit decisioning, pricing, engagement and other business strategies for millions of PenFed members, positively impacting PenFed's financial performance. Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned. + Lead interaction with and advising Management of regarding credit risk issues; formulates product strategy recommendations and evaluates the risk in the overall loan portfolio. + Conduct autonomous end-to-end more complex statistical model creation, including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment, and monitoring. + Ensures adequate internal control processes around model development, implementation and validation are established. + Develop, monitor, and maintain risk models using advanced machine learning and statistical method. + Research and recommend new approaches/algorithms to identify relationships among complex data and implements model changes to improve model performance. + Understand the trends within consumer and commercial loans portfolio, their impact on model implementation design and performance, and develop timely approach to address changes. + Develop necessary analytics and processes during model implementation and forecasting process to provide production support and resolution. + Establish consistent and robust model implementation processes across models with effective review and controls. + Communicate design and results of model's development and implementation to a variety of audiences, including senior management, bank supervisors, internal validation, Internal Audit and line of business credit and finance end users. + Apply intermediate to advanced knowledge of financial processes and procedures, and routine modeling theories and techniques to create effective modeling solutions for a single or multiple business functions. + Maintain documentation for key processes and model components across the team with focus on standardization of processes. + Engage model development teams, model production, and forecasting/model production team/users to develop consistent model implementation and process capabilities. + Participate in regular interactions with various stakeholders to enhance model implementation processes and translate requirements into integrated forecasting process/tools for effective consumption. Qualifications Equivalent combination of education and experience is considered. + Master's Degree in quantitative discipline is required. PHD is highly preferred. + Minimum of three (3) years of related work experience in building statistical models and advanced data analysis. Minimum of one (1) years of experience for PhD degree holders. + Applied experience with Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required. + Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required. + Ability to manage multiple projects simultaneously and implement rapid changes in project direction. + Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail. + Detail oriented, results driven, and the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities. + Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required. + Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations. + Proven project management skills. + Excellent oral and written communication skills required. Supervisory Responsibility This position will not supervise employees. Licenses and Certifications There are no additional certifications required. Work Environment While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise. *Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.* Travel Ability to travel to various worksites and be on-call is not required. #LI-Hybrid About Us Established in 1935, PenFed today is one of the country's strongest and most stable financial institutions with over 2.9 million members and over $31 billion in assets. We serve members in all 50 states and the District of Columbia, as well as in Guam and Puerto Rico. We are federally insured by NCUA and we are an Equal Housing Lender. We are available to members worldwide, via the web, seven days a week, twenty-four hours a day. We provide our employees with a lucrative benefits package including robust medical, dental and vision plan options, plenty of paid time off, 401k with employer match, on-site fitness facilities at our larger locations, and more. Equal Employment OpportunityPenFed management will maintain and observe personnel policies which will not discriminate or permit harassment or retaliation against a person because of race, color, creed, age, sex, gender, gender identity, gender expression, religion, national origin, ancestry, marital status, military or veteran status or obligation, the presence of a physical and/or mental disability or medical condition, genetic information, sexual orientation, and all statuses protected by applicable state or local law in all recruiting, hiring, training, compensation, overtime, position classifications, work assignments, facilities, promotions, transfers, employee treatment, and in all other terms and conditions of employment. PenFed will also prohibit retaliation against individuals for raising a complaint of discrimination or harassment or participating in an investigation of same. PenFed will also reasonably accommodate qualified individuals with a disability so that they can apply for a job or perform the essential functions of a job unless doing so causes a direct threat to these individuals or others in the workplace and the threat cannot be eliminated by reasonable accommodation or if the accommodation creates an undue hardship to PenFed. Contact human resources (HR) with any questions or requests for accommodation at ************.

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we're transforming the financing experience and joining our team? What You'll Do Are you a senior-level data scientist with a passion for building and deploying high-impact fraud or credit risk models? Koalafi is seeking an experienced Data Scientist to lead the development, deployment, and monitoring of machine learning models that sit at the core of our portfolio's profitability. This role requires someone who thrives in an end-to-end environment-designing predictive models, operationalizing them in production, and ensuring they continue to perform in a dynamic market. You will be a key contributor to Koalafi's decisioning ecosystem, owning models that directly influence credit outcomes, fraud mitigation, and the financial performance of the company. Beyond technical expertise, you will bring strong business intuition, enabling you to translate modeling insights into strategic decisions. This position reports to the Manager of Data Science and regularly partners with senior leaders across Risk, Fraud, Analytics, and Technology. Responsibilities Build, deploy, and maintain production-grade credit and fraud models that are foundational to our real-time decisioning platform and essential to portfolio profitability Own the full MLOps lifecycle-from feature engineering, model training, and experiment management to production deployment, performance monitoring, drift detection, and continuous optimization Architect and scale end-to-end ML pipelines, ensuring reliability, reproducibility, and seamless integration with core decisioning services Design robust model monitoring frameworks that enable tracing, profiling, explainability, and rapid root-cause analysis for production incidents or model degradation Partner with data science, risk, and engineering leaders to shape modeling strategy, improve credit policy, and strengthen fraud defenses in response to customer behavior and macroeconomic trends Drive continuous improvement of existing models, incorporating new data sources, advanced techniques, and rigorous validation processes Communicate complex model logic and insights to non-technical stakeholders, clearly linking modeling decisions to business outcomes and strategic priorities About You 5+ years of hands-on experience building and deploying machine learning models, with a strong grasp of the end-to-end modeling lifecycle from feature engineering to validation and productionization 5+ years of professional experience writing performant, maintainable Python code in a collaborative production environment, leveraging core data science libraries like pandas, numpy, xgboost, and scikit-learn 2+ Years of experience working on Credit or Fraud risk models Proficient in SQL for querying, transforming, and analyzing large datasets, and comfortable working across relational databases and cloud-based data platforms Strong understanding of data structures, algorithms, and software engineering principles, and apply them to build robust and scalable data solutions Bachelor's degree in a quantitative or STEM field (e.g., Statistics, Mathematics, Computer Science, Engineering) and demonstrate strong analytical and problem-solving skills in your work Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time Preferred Qualifications Advanced technical and analytical background, ideally with a Master's or PhD in a quantitative or STEM field, and a strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models) Exposure to data and compute platforms such as Snowflake and Databricks Background in financial services or experience working in fast-moving, high-growth environments such as startups Experience with modern ML infrastructure and tooling, including MLOps frameworks (e.g., MLflow, BentoML), CI/CD automation, and model observability, monitoring, and lifecycle management Familiarity with large language models (LLMs) and their deployment in production environments Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most. Benefits: At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Student Loan & Tuition Reimbursement Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs Who we are & what we value: We focus on what's most important We set clear expectations and deliver We embrace challenges to reach our full potential We ask, “How can this be better?” We move fast together

McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO. You will be responsible for the following: Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO- specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer's Technical Representative (COTR) related to the LABOR category. Requirements Desired Qualifications: Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO's ethical frameworks for AI deployment. Mandatory Qualifications: Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud- based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI , in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch , or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Benefits For U.S. residents only: 401(k) Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: * Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions * Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic * Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) * Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. * Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. * Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations * Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand * Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline * Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training * Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models * Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication * Ability to work autonomously in a collaborative, dynamic, cross-functional environment * Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). * Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: * Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) * 1+ years of experience in data science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data wrangling, and model development in R or Python * Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL * Humble and willing to learn, teach, and share ideas * Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements * Comfortable learning new things and working outside of your comfort zone * Technical mindset you are not afraid of math! * Must currently possess a Public Trust clearance * Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills * Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) * Programming techniques (e.g. pair programming, code reviews) * Experience with containerization and environment management (venv or conda) * Experience with Natural Language Processing (NLP) and advanced text mining techniques * Experience with graph analytics and network analysis * Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure * Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting * Experience implementing data science processes in a remote, austere environment to include using bash * Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) * Understanding of the data analytics lifecycle (e.g. CRISP-DM) Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist III will be responsible for leading advanced analytics and data science initiatives in support of the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on strategic data enablement across the Navy Information Warfare enterprise. Responsibilities This position provides oversight and direction for the implementation of data strategies, frameworks, and predictive analytics. The candidate will align data solutions with mission goals, lead cross-functional teams, and guide the adoption of enterprise-wide data governance, visualization, and analysis tools. This position is a hybrid role based in Suffolk, VA, with limited travel anticipated. Responsibilities Lead the strategic development and execution of data science and analytics initiatives supporting NAVIFOR's Command Data Office (CDO) Oversee the implementation of the NAVIFOR CDO Data and Analytics Capability Maturity Implementation Plan (I-Plan) Apply advanced data science techniques including machine learning, AI, and statistical modeling to develop mission-aligned insights Coordinate enterprise data governance and strategy across diverse stakeholder groups Provide subject matter expertise in designing and optimizing Extract, Transform, Load (ETL) pipelines and data architecture Supervise and mentor junior data scientists, analysts, and engineers in best practices and methodologies Develop performance metrics, dashboards, and process improvement strategies using NPIER/DMAIC Author and present detailed white papers, briefs, and reports to Flag/SES-level stakeholders Qualifications Education: Master's degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum of 7 years of demonstrated experience in data strategy, data science, governance, and advanced analytics, preferably supporting DoD or Navy enterprise environments Clearance: Active Secret Clearance required Technical Skills: Expertise in statistical analysis, AI/ML frameworks, and advanced analytics tools Familiarity with data governance, Navy data strategies, and enterprise analytics Experience with Navy cloud platforms, data engineering tools, and collaboration tools such as Power BI, Jupyter, Confluence, and Jama The candidate must: Be capable of performing effectively individually and as part of a team Have effective critical thinking and problem-solving skills Be self-motivated and able to successfully deliver with minimal supervision Be proficient in Microsoft Office Suite Pay Range Base pay is $135,000-$145,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

REQUIRED SKILLS • Demonstrated experience with the ability to understand and automate customer workflows and business processes with Al solutions • Demonstrated experience in data structures, data modeling, and software architecture • Demonstrated in-depth experience and knowledge of Inachine learning tools and frameworks such as PyTorch, Tensorflow, etc. • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms • Demonstrated experience in Al/ML specific programming languages, such as Python, Jav, C++, Conda, etc. • Demonstrated experience training Al Inodels, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS • Demonstrated experience implementing secure Al solutions in the Intelligence Community • Demonstrated experience working with highly sensitive data sets • Demonstrated experience in leading Al/ML initiatives • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline • Demonstrated experience and in-depth knowledge in implementing solutions in Alnazon Web Services • Demonstrated experience with very strong problem solving and critical thinking skills • Demonstrated experience performing in a collaborative team environment.

Senior Manager - Senior Data Scientist and Program Manager-ANA019699Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact. com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager!We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. ResponsibilitiesLead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. Collaborate with business development teams to identify new opportunities using data-driven insights. Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. Ensure the team's outputs align with organizational objectives and performance benchmarks. Partner with research and market analysis units to interpret complex data sets into actionable intelligence. Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you!Minimum QualificationsBachelor's degree in Aeronautical Engineering or a related quantitative discipline. Minimum of 10+ years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. Experience in business development and market research functions preferred. Preferred Qualifications/ SkillsRequired Professional CompetenciesProven experience in team leadership and project management within a data analytics or pricing environment. Strategic mindset with strong problem-solving and decision-making abilities. Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical SkillsStatistical modeling, forecasting, and data analytics proficiency. Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. Familiarity with process design tools such as Miro for workflow optimization. Experience in predictive analytics and quantitative research methodologies. Strong ability to interpret large data sets and deliver business-oriented recommendations. Key AttributesAnalytical thinker with a passion for data-driven decision-making. Proactive leader capable of managing diverse teams and competing priorities. High attention to detail and commitment to quality deliverables. Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity “Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only. ” Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior ManagerPrimary Location USA-AlexandriaSchedule Full-time Job Posting Nov 13, 2025, 1:43:59 PMUnposting Date Jan 12, 2026, 6:29:00 PM

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Job Description Location: McLean, VA 22102 Duration: 6+ months (could go beyond) Description: • The candidate for this position will provide analytical support to the Data Science Division in the Cyber, Cloud and Data Science Service line. • The successful candidate will support the enterprise through designing solutions for data collection, preparation, and model building to develop end-to-end analytic lifecycles to synthesize actionable information. • The candidate will determine appropriate tools and methods for specific projects to design the analytics solution either as a standalone system, or an analytics embedded inside and overall solution. • The candidate will be working in teams that include enterprise architects, intelligence analysts, data and visualization experts, software developers, and system engineers, and will have an excellent opportunity to broaden skills. • The candidate must have experience in developing and deploying solutions for customers. Applicant must have skills applicable to one or more of the following areas: • Data wrangling, cleansing, and analytics • The data science process • Presenting work to both technical and non-technical audiences • Statistical evaluation • Machine Learning, Predictive Modeling Qualifications Applicant should have skills in one or more of the following areas: • Machine Learning Technologies, such as Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • R libraries: base, MASS, plyr, rpart, random Forest, maps/mapproj/rworldmap, zoo, adabag, animation, ggplot, igraph, jsonlite, mclust, pROC, hexbin • Python libraries: numpy, scipy, matplotlib, scikit-learn,etc • SPSS, Oracle Data Miner, SAS Base, DataMiner, Dataflux, STAT • Entity Resolution - Basis Technology Rosette Name Indexer (RNI), Global Name Recognition (GNR), Probabilistic Matching Engine, Trillium Software (TS) Quality • Apache Hadoop 2.x, MapReduce, Elastic Search 1.4.x, Sqoop, Pig • Familiar with Libraries: such as ATS SSO, ATS-common framework, Highchart, jersey, jtidy, one2team, iText, Spring/Spring STS, JSON, Network Markov Clustering, Topic Modeling Tool, Naïve Bayes, Apache Commons, Google's Guava, Apache Log4j, Open CSV, SecondString • Working in interdisciplinary teams. Additional Information To discuss on this in more detail, Please contact: Himanshu Prajapat ********************************** ************

Every hour you save in the collection cycle is an hour the adversary doesn't get to move, hide, or change the picture. That's the difference between having intelligence when it matters and having it after it's too late. This is your chance to be a part of the National Geospatial-Intelligence Agency Source Office, directly supporting CENTCOM operations. You'll be building AI-powered tools that don't just analyze data, but initiate action. Your code will recommend complex collection strategies to Source Strategy Officers, trigger automated GEOINT collection without waiting for human approval, and get results into analysts' hands fast enough to change the outcome. You'll be integrating AI into real, operational systems-JEMA, GIMS, RemoteView, ArcPro, etc. and seeing exactly how your automation speeds up the fight of time. You'll watch the before-and-after difference your tools make and know you had a direct hand in changing the intelligence picture. If you've been waiting for the moment your AI actually drives how the U.S. collects intelligence, this is it. Join XTS today! Requirements You have a current active Top Secret / SCI clearance. You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Experience with developing AI tools that can integrate with platforms like JEMA and GIMS to recommend mission-ready GEOINT collection strategies. If you're ready to see your code move faster than the adversary, shape decisions in real-time, and watch the difference you make in the fight for time, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

Job Title: DATA SCIENTIST Workplace: Hybrid Clearance Required: MUST HAVE AN ACTIVE SECRET CLEARANCE Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with active clearances interested in supporting the U.S. Government. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: AI / Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include: Develop and implement predictive models and machine learning algorithms to identify patterns. Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities. Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks. Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations. Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data. Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects. Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders. Keep abreast of the latest developments in AI, machine learning, and data science. Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects. Participate in the development of strategies and policies related to crime prevention and detection. Assist in preparing reports and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings Required Education: Bachelor s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-6 years of relevant work experience. Or, a Master s Degree with 2+ years of relevant work experience Preferred Skills and Qualifications: AWS foundational technologies GenAI technologies About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

REQUIRED SKILLS • Demonstrated experience with the ability to understand and automate customer workflows and business processes with Al solutions • Demonstrated experience in data structures, data modeling, and software architecture • Demonstrated in-depth experience and knowledge of Inachine learning tools and frameworks such as PyTorch, Tensorflow, etc. • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms • Demonstrated experience in Al/ML specific programming languages, such as Python, Jav, C++, Conda, etc. • Demonstrated experience training Al Inodels, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS • Demonstrated experience implementing secure Al solutions in the Intelligence Community • Demonstrated experience working with highly sensitive data sets • Demonstrated experience in leading Al/ML initiatives • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline • Demonstrated experience and in-depth knowledge in implementing solutions in Alnazon Web Services • Demonstrated experience with very strong problem solving and critical thinking skills • Demonstrated experience performing in a collaborative team environment.

Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager! We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. Responsibilities * Lead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. * Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. * Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. * Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. * Collaborate with business development teams to identify new opportunities using data-driven insights. * Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. * Ensure the team's outputs align with organizational objectives and performance benchmarks. * Partner with research and market analysis units to interpret complex data sets into actionable intelligence. * Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. * Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you! Minimum Qualifications * Bachelor's degree in Aeronautical Engineering or a related quantitative discipline. * Minimum years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. * An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. * Experience in business development and market research functions preferred. Preferred Qualifications/ Skills Required Professional Competencies * Proven experience in team leadership and project management within a data analytics or pricing environment. * Strategic mindset with strong problem-solving and decision-making abilities. * Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical Skills * Statistical modeling, forecasting, and data analytics proficiency. * Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. * Familiarity with process design tools such as Miro for workflow optimization. * Experience in predictive analytics and quantitative research methodologies. * Strong ability to interpret large data sets and deliver business-oriented recommendations. Key Attributes * Analytical thinker with a passion for data-driven decision-making. * Proactive leader capable of managing diverse teams and competing priorities. * High attention to detail and commitment to quality deliverables. * Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? * Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation * Make an impact - Drive change for global enterprises and solve business challenges that matter * Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities * Work with the best - Join 140,000 bold thinkers and problem-solvers who push boundaries every day * Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity "Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only." Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. '1653015

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO). Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR's data strategy. This is a hybrid position based in Suffolk, VA, with limited travel anticipated. Responsibilities: Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms Assist in the integration of structured and unstructured data sources to support analytics workflows Conduct data profiling, cleaning, transformation, and normalization activities Apply machine learning and statistical analysis techniques to support mission-aligned use cases Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding Clearance: Active Secret Clearance required Technical Skills: Familiarity with general-purpose analytics tools and platforms (e.g., Python, R, Power BI, Tableau) Hands-on experience with SQL databases and data prep pipelines Experience with Jupyter, Jama, or related Navy tools preferred The Candidate must be: Must be technically savvy and possess excellent communication skills Must have effective critical thinking and problem-solving skills Must be self-motivated and able to deliver with minimal supervision Proficient in Microsoft Word, Excel, PowerPoint, and Outlook This position is fast paced and high demand that is a hybrid position (onsite and remote) in Suffolk, VA. Limited to no travel is anticipated. Pay Range Base pay is $105,000-$115,000, subject to skill level, qualifications, and location. Benefits Highlights 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!