Data science internship jobs in Frederick, MD

Senior Data Analyst to support enterprise-wide data profiling, quality assessment, and analytical initiatives. This role requires strong SQL expertise, advanced analytical thinking, and a solid understanding of data environments across ETL pipelines, Data Warehouses, and Data Marts. The ideal candidate will partner closely with both business and technology teams to translate complex requirements into actionable, end-to-end data solutions. Responsibilities and Requirements: · 8+ years of experience in Business and Data Analysis · Proficiency in SQL · Experience working in Agile teams, including creating business and technical user stories in Jira · Mortgage domain experience (required) · Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs · Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights · Ability to translate non-technical business requirements into technical rules or methodologies · Ability to quickly learn business operations and processes · Strong communication skills, capable of articulating complex concepts to diverse audiences · Flexibility and adaptability to adjust plans based on evolving business needs · Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders · Partner with client analytics teams to understand business-specific data sources, elements, and relationships · Translate high-level business requirements into complete, end-to-end analytical solutions · Identify opportunities for advanced analytics and reporting across business-aligned testing teams · Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation · Conduct exploratory data analysis to develop a strong understanding of targeted business areas · Work closely with peers, colleagues, and managers to resolve issues and drive project goals If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at *******************

10+years of experience required in Information Technology. Python Programming: At least 5 years of hands-on experience with Python, particularly in frameworks like FastAPI, Django, Flask, and experience using AI frameworks. • Access Control Expertise: Strong understanding of access control models such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). • API and Connector Development: Experience in developing API connectors using Python for extracting and managing access control data from platforms like Azure, SharePoint, Java, .NET, WordPress, etc. • AI and Machine Learning: Hands-on experience integrating AI into applications for automating tasks such as access control reviews and identifying anomalies • Cloud and Microsoft Technologies: Proficiency with Azure services, Microsoft Graph API, and experience integrating Python applications with Azure for access control reviews and reporting. • Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to collaborate with various stakeholders, explain complex technical solutions, and deliver high-quality solutions on time. • PlainID: Experience or familiarity with PlainID platforms for identity and access management. • Azure OpenAI: Familiarity with Azure OpenAI technologies and their application in access control and security workflows. • Power BI: Experience with Microsoft Power BI for data visualization and reporting. • Agile Methodologies: Experience working in Agile environments and familiarity with Scrum methodologies for delivering security solutions.

Data Scientist - Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months) Data Scientist - Transit Data Focus Employment type: Contract Duration: 6 Months Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning. Experience Level: 3-5 years Job Responsibilities: Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data. Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization. Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources. Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability. Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies. Monitor data quality and integrity; implement data validation and cleansing processes. Technical Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field. 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with SQL for database querying, manipulation, and data extraction. Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems. Experience with data visualization tools such as Power BI, or equivalent.

Title: Principal Data Scientist with Gen AI Contract: W2 Exp: 10+ Duration: Long Term Interview Mode: In-Person interview Call Notes: Looking for a Principal Data Scientist with strong focus on Generative AI (GenAI) with expertise in Machine Learning transitioned into GenAI. Need someone with good experience in RAG, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Someone with advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. Highly preferred for someone who can built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Top Skills: Machine Learning & Deep Learning - Required GenAI - Required Python - Required Rag and/or Graph Rag - Required MCP (Model Context Protocol) and A2A (Agent-to-Agent) is highly preferred Job Description: We are seeking a highly experienced **Principal Gen AI Scientist** with a strong focus on **Generative AI (GenAI)** to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Key Responsibilities: * Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. * Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. * Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. * Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic * Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. * Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). * Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. * Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. * Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. * Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls * Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media * Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures Required Qualifications:** * 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions. * Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS KnowledgeBase / Elastic), and multi-modal models. * Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS). * Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). * Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks * Demonstrated ability to work in cross-functional agile teams. * Need Github Code Repository Link for each candidate. Please thoroughly vet the candidates. **Preferred Qualifications:** * Published contributions or patents in AI/ML/LLM domains. * Hands-on experience with enterprise AI governance and ethical deployment frameworks. * Familiarity with CI/CD practices for ML Ops and scalable inference APIs.

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP. Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi). Required Skills and Demonstrated Experience Demonstrated experience in Python, Javascript, and R. Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch. Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods. Demonstrated experience with large-scale text analytics. Desired Skills Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models. Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization. Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals. Demonstrated experience with Linux System Administration and associated scripting languages (Bash) Demonstrated experience with Android configuration, software development, and interfacing. Demonstrated experience in embedded systems (Raspberry Pi) Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields. Reports results and provide documentation and guidance on working with the research-grade algorithms. Evaluates, Integrates and leverage internally-hosted data science tools. Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods Location: Reston, Virginia This position is onsite and there is no remote availability. Clearance: Active TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

Job title: Data scientist Fulltime About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Note: • In- person interview Must Have; • Data science • Python • SQL • ML/Ops • Risk Modelling 📩 Apply today or share profiles at ****************************

• Collect, clean, and preprocess large datasets from multiple sources. • Apply statistical analysis and machine learning techniques to solve business problems. • Build predictive models and algorithms to optimize processes and improve outcomes. • Develop dashboards and visualizations to communicate insights effectively. • Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify opportunities for leveraging data. • Ensure data integrity, security, and compliance with organizational standards. • Stay current with emerging technologies and best practices in data science and AI. ________________________________________ Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts clearly. ________________________________________ Preferred Qualifications • Experience in risk modeling, financial services, or product analytics. • Knowledge of MLOps and deploying models in production. • Familiarity with data governance and compliance frameworks. ________________________________________ Soft Skills • Strong analytical thinking and attention to detail. • Ability to work independently and in a team environment. • Effective communication and stakeholder management skills. #LI-CGTS #TS-0455

About Us Apollo is a Mission-Critical Infrastructure Engineering, Construction, Commissioning, and Operations Support Services Company. We serve mission-critical industries globally with commissioning, emergency response, operations support, and owner's representative services. Apollo is currently executing projects in multiple states in the United States, in Canada and Brazil. Since our inception, we have built a commissioning firm based on trust, one relationship at a time. We hire the best people who can handle critical systems, love challenges, and thrive in a dynamic environment. We focus on understanding each client's needs and are relentless in meeting them. Location Multiple U.S. Locations - Atlanta, GA; Ashburn, VA; Chicago, IL; Phoenix, AZ; Columbus, OH; Portland, OR; Jackson, MS Job Description The Data Center Commissioning Engineer Intern (CxE-I) provides technical support for planning, scheduling, and executing the full life cycle commissioning of mission-critical data center facilities. They participate in the design review process and the functional testing of complex electrical and mechanical systems. The CxE-I partners with senior team members, design engineers, construction contractors, equipment vendors, and client staff to test, validate and approve newly installed and operational electrical and mechanical systems in mission-critical data center facilities. The CxE-I provides commissioning support as part of Apollo's onsite, client-facing teams. Thus, this role may involve approximately 75% or more travel to various client locations. Education Relevant coursework towards a bachelor's or associate degree in engineering, architecture, construction, or a related discipline OR One year of experience with the installation, testing, validation, and troubleshooting of mechanical and/or electrical infrastructure. Key Responsibilities Provide engineering and technical support to plan, schedule, coordinate and execute the full life cycle commission of mission-critical data center facilities. Assist in the design of Mechanical, Electrical, and Plumbing (MEP) systems for mission-critical data center facilities. Perform on-site inspection, validation, testing and verification for complex electrical and mechanical systems and equipment. Conduct site observation surveys and prepare field reports on project status and compliance with plans and specifications. Develop test plans and procedures. Review design documents, drawings, specifications, submittals. Produce meeting minutes and project reports for internal and external stakeholders. Prepare punch list reports and determine corrective measures for on-site issues. Achieve certification for NFPA70E, OSHA 30, and other training as required. Travel to other project locations as required. Perform other duties as assigned. Physical Demands The following physical demands must be met to successfully perform the essential functions of this role. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions: Frequently manipulating, moving, or grasping small parts, devices, or tools. Frequently required to remain in a stationary position. Frequently moving through office areas, critical facilities and other environments, including tight and confined spaces. Exposure to low/high temperatures and outdoor elements such as precipitation and wind. Working and walking on different types of terrain on active construction sites (e.g., concrete flooring, gravel, unpaved roads). Frequently ascending and descending stairs and ladders to access equipment. Frequently positioning oneself under or over equipment. Frequently moving equipment weighing up to 50 pounds. Qualifications Knowledge of electrical, mechanical and controls system principles Skilled at using MS Office tools. Ability to perform routine calculations. Ability to analyze and prepare reports and technical documents. Ability to work under pressure and meet critical deadlines. Must be detail oriented. Prerequisites for Employment Successful Background Check including pre-employment drug screening US citizens, permanent residents or any candidate with eligibility to work in the US Graduating in May 2027 or later Apollo challenges the brightest, most talented, and driven individuals in the industry by providing an environment that embraces initiative, diversity, and achievement. We are an Equal Employment Opportunity, Affirmative Action employer supporting women, minorities, veterans and people with disabilities. We participate in the Department of Homeland Security E-Verify program.

Job Description Applied Data Scientist Internship (DoD SkillBridge) The DOD SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DOD SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DOD SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: ************************************* Eligibility Requirements: Meet all DoD SkillBridge qualifications set forth in DODI 1322.29 Served at least 180 days on active duty Within 180 days of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship Duration: 90-180 days Requirements: Active TS/SCI clearance/polygraph required Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering Experience constructing and performing complex database search queries Experience/knowledge of computer science concepts Desired Skills: Ideal Candidates would be from one of the following Military Occupational Skill Communities: Air Force - (1N4) Marine - (2611, 2629) Army - (35N, 352N, 17C, 170A) Navy CTR (C18A/9147, C19A/9149) CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A) Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: Python, SQL Jupyter Pig ELK Stack Splunk PowerBI Jupyter Notebooks _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR syn Y3toJUH

Responsibilities Peraton is seeking Summer 2026 Data Science Interns in support of our Internal Research & Development (IRAD) program which will be conducted in our Herndon, VA, West Lafayette, IN or Blacksburg, VA offices. Join our Technology and Engineering Software Delivery Center and support exciting research projects in areas such as health, finance, defense, and cybersecurity. You'll have the opportunity to work in a collaborative, supportive environment with our full-time staff, allowing you to grow your skills and your career while building experience in a variety of different projects and domains. You'll work in an Agile development environment to identify requirements, data, and key insights needed for developing models that derive business value from data science. You'll develop code to clean data, develop complex feature sets, and build models using industry leading technologies and frameworks. And you'll deploy those models into production environments using techniques that continuously evaluate model quality. We ask that each intern be available to work the duration of the ten weeks (June to August) and commit to working a minimum of 35-40 hours per week. This program is geared toward technical college students, actively enrolled at a four-year university, who will be rising into their junior or senior years. However, strong underclassmen may be considered if they have declared their major and have completed qualified coursework. Qualifications Required Qualifications: * HS Diploma and some advanced level training. * U.S. Citizenship. * Have completed progress towards a bachelor's degree in data science, data analytics, computer science, computer engineering, or a related field. * Foundational experience in data science technologies such as Python, R, Spark, and SQL. * Foundational experience in cleansing and processing data to build features for model development. * Hands on experience through coursework and/or prior internships working with data science frameworks such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, Shap, and/or similar tools. * Strong analytical and problem-solving skills. * Ability to quickly adapt and learn new technologies and concepts. * Self-motivated, independent, detail oriented, responsible team-player. * Strong written and oral communication skills. Desired Qualifications: * 3.0 and above GPA. * Exposure to Agile development processes and tools. * Familiarity developing ETL and data quality pipelines that process vast amounts of data. * Prior experience with distributed compute architectures such as Spark, Kubernetes, or Docker containers. * Ability to describe complex, technical problems to business stakeholders in a non-technical way. * Ability to self-manage day to day tasks independently and communicate collaboratively with leadership and other development teams. #PeratonIntern Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range The rate / range per hour below represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. SCA / Union / Intern Rate or Range $25.00/hour EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care. Our team thrives in a creative, open, and growth-oriented environment, guided by our core values: Outcomes First: Focusing on what matters most and making timely, informed decisions. Innovative: Embracing creativity and continuous improvement to drive novel solutions. Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care. Never Satisfied: Pursuing excellence and continuous growth beyond the status quo. Resilient: Adapting and persevering through challenges, turning obstacles into opportunities. If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you. Position Summary The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease. Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics. Key Responsibilities Review scientific data submissions for completeness, accuracy, and adherence to defined standards. Evaluate the consistency and scientific relevance of data and flag potential issues for review. Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff. Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review. Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality. Assist in monitoring data quality metrics and document trends or recurring issues. Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices. Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives. Required Qualifications Bachelor's degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field). Familiarity with pre-clinical research methods and experimental design. Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data. Ability to follow established data quality workflows and contribute to process documentation. Strong written and verbal communication skills, with the ability to summarize findings clearly. Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team. Preferred Qualifications Master's degree in a relevant scientific or data-related field. Understanding of controlled vocabularies, ontologies, and biomedical data standards. Familiarity with database systems, structured data models, or data submission pipelines. Exposure to human-in-the-loop AI processes and automation in data review workflows. Experience with quality control, process improvement, or research data management. *This is a remote-eligible position Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws. We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at **********************. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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. 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.

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.

My client is seeking a jr. data analyst to join their team supporting their federal client out of Silver Spring, MD 3 days a week. Their day to day responsibilities will include supporting cyber related data calls by gathering required inputs, maintain and update the tracking tools/spreadsheets, and coordinating with internal stakeholders to clarify requests and schedules We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years total working experience -1+ years of experience working in government policy/insider threat analysis - Bachelor's degree -ability to obtain NOAA Public Trust Clearance

The Junior Data Analyst Intern will be responsible for developing, modifying and assisting in the support of several internal database systems and tools. Will troubleshoot existing systems and help develop recommendations, fixes and advancements. Work with experienced professionals who will guide processes. An opportunity to expand your skills and utilize your current knowledge. Job Requirements High School Diploma Enrolled in a current college program Strong IT and Database experience Ability to adapt book knowledge to real-world situations

ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. Join us and contribute to the development of innovative applications that power global travel. ATPCO is everywhere people buy flights. We're not just shaping the future of air travel- we're redefining how and where great work happens. At ATPCO, we believe in flexibility, trust, and a culture where your wellbeing comes first Our Culture: We've built a remote-first culture rooted in trust, transparency, and belonging. With open-door leadership, weekly 1:1s, and real-time recognition, we keep our people connected and valued-no matter where they work. Our cultural pillars of Collaboration, Empowerment, Innovation, Learning, Transparency, and Trust guide how we show up for one another and grow together. Job Description Overview Join our Marketing Analytics team as a Marketing Data Analyst Intern to bridge data, technology, and strategy. You'll collect, organize, and visualize data from key systems like HubSpot, MS Dynamics, and Power BI to uncover insights that inform marketing performance, customer engagement, and growth opportunities. What You'll Do Collect, clean, and analyze marketing and customer data across multiple platforms. Design and maintain dashboards in Power BI and HubSpot to track KPIs and campaign impact. Automate recurring reports and improve data accuracy and reporting workflows. Analyze campaign results, customer journeys, and lead performance to identify trends and opportunities. Translate data into actionable insights and recommendations for the marketing and leadership teams. What You'll Bring Pursuing a degree in Data Analytics, Marketing, Information Systems, or a related field. Proficiency with Power BI (or similar tools), Excel/Sheets, and basic data cleaning. Familiarity with HubSpot CRM, MS Dynamics, or marketing analytics platforms. Strong analytical mindset with curiosity to connect data insights to business outcomes. Bonus: experience with SQL, workflow automation (Zapier/Make), or marketing KPI Additional Information At ATPCO, we are deeply committed to diversity, equity, and inclusion. Our supportive policies promote work-life balance through flexible work arrangements, and we cultivate a workplace where every employee feels valued, respected, and a true sense of belonging. We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor All your information will be kept confidential according to EEO guidelines.

Research & Data Analyst About the Role We're looking for a Research & Data Analyst to expand our core data platform. You'll be responsible for identifying, evaluating, and integrating new data sources and content into our platform-ensuring data is clean, structured, and ready to power analytics, context, and automation. This role combines deep research and analytical rigor with hands-on data work, requiring someone who can bridge business needs with technical execution. What You'll Do Identify and Onboard New Data Sources: Lead exhaustive research to identify, evaluate, and obtain new OSINT sources. Establish and maintain relationships with third-party data providers to continuously expand platform capabilities. Perform Strategic Research and Analysis: Conduct exhaustive research and advanced analysis, including writing SQL for quantitative conclusions and leading the qualitative analysis of unstructured sources (e.g., program documents) to extract nuance, intent, and context. This work establishes analytical frameworks, enables evidence-based decisions, and sets the foundation for all product features. Clean and Structure Data for Production: Profile, validate, and work with engineering to transform raw, complex data into standardized formats that integrate seamlessly with our existing infrastructure and support automation. Build and Maintain Data Workflows: Create and document repeatable processes for efficient data ingestion, comprehensive quality checks, and maintenance, ensuring the system can scale. Create and Maintain a Data Audit Structure: Design and implement robust data checks within existing frameworks, performing cross-source comparisons to ensure absolute accuracy and data integrity. Collaborate Across Teams: Serve as the go-to data domain expert, working closely with Product, Engineering, and Customer Success to translate customer needs into robust data solutions and inform the product roadmap. This includes creating quick-turnaround dashboards to test insights with real users before productization. Document data assets - Create and maintain data dictionaries, lineage documentation, and process guides that enable teams to understand and use data effectively What You Bring 2-4 years of experience working with data in a research, analyst,, or business intelligence role Strong SQL skills - Comfortable writing queries to join, filter, aggregate, and analyze data across multiple tables and sources Data quality mindset - Track record of cleaning messy datasets, identifying data issues, and implementing validation checks Problem-solving ability - Can navigate ambiguous situations, diagnose root causes, and develop practical solutions Clear communicator - Able to explain technical concepts to non-technical audiences and document processes clearly Basic scripting knowledge - Familiarity with Python, R, or similar tools for data manipulation is a plus but not required Nice to Have Experience with BI tools - Hands-on use of Hex, Tableau, Looker, Power BI, or similar platforms to build dashboards and reports Experience working with APIs or data integration platforms Exposure to data warehouses (Snowflake, BigQuery, Redshift) or modern data stacks Background in defense, govtech, or industries with complex data environments Familiarity with data governance or master data management concepts

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. : Job Description: As a Business Analyst Intern, you will work closely with business leaders and our Business Process Optimization & Intelligent Automation team to identify, analyze, and optimize business processes throughout the Parsons organization. This role offers a unique opportunity to gain hands-on business transformation experience in a team environment while developing key skills in process improvement and automation technologies. What You'll be Doing: * Collaborate with cross-functional teams and directly with business leaders to understand and document existing business processes, using a variety of business analysis and design thinking techniques. * Analyze data and documentation to identify inefficiencies and areas for improvement within business processes. * Assist in creating and documenting resulting business requirements of future technical solutions. * Assist in the development and implementation of low-code automation solutions to optimize business processes. * Assist in the monitoring and reporting of automation solution performance, identifying areas for further refinement. * Assist in development of communications and presentations to stakeholders. What Required Skills You'll Bring: * Currently pursuing a degree in Business Administration, Information Systems, Engineering, or a related field. * Basic understanding of business process modeling and improvement methodologies. * A proactive, disciplined, and motivated approach. * Strong analytical and problem-solving skills. * Excellent communication skills, both written and verbal. * Ability to work effectively in a collaborative, team-oriented environment. * Familiarity with a variety of automation technologies, including emerging AI technologies. * Basic proficiency in digital tools used for data analysis and documentation (e.g., spreadsheets, virtual whiteboards, etc.) What Desired Skills You'll Bring: * Experience in developing automations on low-code platforms (e.g., Power Platform, Automation Anywhere) is a plus * Experience in using design thinking empathy and ideation techniques such as interviewing, observing, journey mapping, and brainstorming is a plus * 6 months - 1 year industry experience a plus Security Clearance Requirement: None This position is part of our Corporate team. For over 80 years, Parsons Corporation, has shaped the future of the defense, intelligence, and critical infrastructure markets. Our employees work in a close-knit team environment to find new, innovative ways to deliver smart solutions that are used and valued by customers around the world. By combining unique technologies with deep domain expertise across cybersecurity, missile defense, space, connected infrastructure, transportation, smart cities, and more, we're providing tomorrow's solutions today. Salary Range: $18.94 - $33.17 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as 401K! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to ************************************************

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking a forward-thinking Senior Consultant to lead initiatives in Agentic AI, Generative AI, and advanced Data Science. This role will drive innovation in healthcare analytics and enterprise AI solutions, leveraging cutting-edge technologies to transform data into actionable intelligence. The ideal candidate will replace a technical leader who pioneered AI-driven workflows and generative modeling within our organization. Design and implement Agentic AI systems for autonomous decision-making and workflow optimization. Develop Generative AI applications for summarization, predictive modeling, and conversational interfaces. Build and maintain scalable data pipelines integrating structured and unstructured data. Apply advanced statistical and machine learning techniques to policy evaluation. Lead AI-driven projects in retrieval-augmented generation (RAG), prompt engineering, and knowledge graph integration. Collaborate with cross-functional teams to deliver AI-powered dashboards and insights. Mentor junior staff in AI methodologies and data science best practices. What You Will Need: US Citizenship is required Master's degree is required Minimum FIVE (5) years of experience in AI and data analytics, including healthcare or enterprise data. Expertise in Python, R, and frameworks for AI/ML (e.g., TensorFlow, PyTorch). Hands-on experience with Generative AI models (LLMs, diffusion models) and Agentic AI architectures. Strong understanding of SQL and cloud-based data platforms. Ability to translate complex AI concepts into business solutions. Experience with RAG pipelines, vector databases, and knowledge graphs. What Would Be Nice To Have: Familiarity with AI governance, ethical AI practices, and compliance. Proficiency in visualization tools and interactive dashboards. Agile project management and sprint-based delivery. Prior experience in technology consulting The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.