Data science internship jobs in Broadlands, VA

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.

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.

• 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

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

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.

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.

Are you currently enrolled in a postsecondary education program (an education or training program after completing a diploma or GED)? Are you eager to make a meaningful impact in communities across the nation and gain practical experience at the same time? Join Strada Education Foundation's summer internship program and be part of a national philanthropic organization focused on better connecting education after high school to meaningful employment and economic opportunity in the U.S. Clear Outcomes and Data Science Intern:This internship offers a unique opportunity to gain high-impact experience and exposure across critical areas that advance Strada's mission. As a Clear Outcomes/Data Science Intern, you will contribute to building and enhancing systems that align postsecondary education with employment outcomes. This role provides an exciting opportunity to work at the intersection of data analysis, education policy, labor markets, and workforce development. You will support projects focused on improving state data collection, integration, and visualization to inform decision-making processes. By leveraging tools such as Looker, Tableau, or similar platforms, you will also explore and analyze education-to-employment data to uncover insights that drive innovation and scalability. This internship is ideal for someone with a foundation in data science and analytics who seeks to learn how data can inform policies and strategies aimed at bridging the gap between education and workforce development. This is a great opportunity to build on existing experience in exploring and analyzing data and it will allow you to deepen your understanding of how data ecosystems can shape meaningful change in education and employment alignment. About StradaStrada Education Foundation is a national nonprofit social impact organization that supports programs, policies, and organizations that strengthen connections between education and employment in the U.S., with a special focus on helping those who have faced the greatest challenges securing economic opportunity through postsecondary education or training (PSET). Our strategic plan focuses on five focus areas: clear outcomes, quality coaching, affordable PSET, work-based learning, and employer alignment. Strada works with partners in education and training, nonprofit organizations, industry, startups, and public policy. We leverage strategic philanthropy, investments, research, communications, advocacy, and collaborating organizations as tools to help advance equitable pathways to opportunity. Strada aspires to be a nonprofit partner of choice working with education and training providers and leaders, policymakers, and peer organizations. Strada offers a dynamic, collaborative, and inspiring professional environment that provides learning and professional development opportunities, both within the organization and with external partners. Internship Overview:Duration: May 19, 2026 - August 14, 2026Hours: Minimum of 30 hours per week (seasonal employee) Pay: $22.75/hour undergrad; $25/hour grad Location: (Hybrid) Washington, DC (in-office on Tuesdays + department-specific day and other days as needed for special events) Travel: Up to 15% for Professional Development The Strada summer internship program offers a paid, 13-week, hands-on learning experience for students who are at least one year post-high school. This opportunity is ideal for those seeking to gain experience in social impact while engaging in meaningful functional work. As part of this cohort-based program, interns will gain exposure to nonprofit operations, engage with leadership, and build a network that spans both nonprofit and for-profit sectors. Interns will work on impactful projects, participate in skill-building activities, and attend professional development events such as speaker series and informational interviews. The internship program will run from May 19, 2026, to August 14, 2026, and interns must be based in the Washington D.C. area and available for the entire duration of the internship. Interns will work out of the office at least two days per week (Tuesdays and one other department-specific day). There will be times when additional days may be required for professional development workshops and special guests. There may also be an opportunity to travel to conferences and workshops throughout the program. What You'll Gain: Exposure to Nonprofit, Postsecondary Education, and Workforce Development Sectors: Participate in leadership speaker series, lunch-and-learns, and industry interviews. High-Impact Work Experiences: Gain functional skills through rotational work and real-world projects with colleagues across diverse teams. Coaching, Mentorship, and Professional Networking: Receive quality mentorship and coaching from supervisors and executives. Build your professional network through community events and leadership exposure. Qualifications: At least one year out of high school and currently enrolled in or accepted into a postsecondary education or training program (college, apprenticeship, boot camp, etc.). Demonstrated ability to learn quickly and contribute in a collaborative environment. Strong communication skills, both written and verbal. Excellent attention to detail, time management, and problem-solving abilities. Proficiency with Google Suite and Microsoft Office; familiarity with Zoom and Slack is a plus. Self-motivated, able to work independently while being open to feedback. Passionate about promoting equitable opportunities in education and employment. Positive attitude with a strong willingness to collaborate, contribute, and enhance the experience of the entire internship cohort. To apply for the Strada Education Foundation Summer Internship Program, please: Attach Your Resume Submit a Cover Letter detailing your interest in the internship. Submit a Loom Video (instructions below) Next Steps: Your Application SubmissionWe believe in a hands-on approach, and your application process starts with getting to know the team and the task at hand! Watch the Introduction: Get a personal introduction and overview of the role's vision from the Hiring Manager in this short video: Introduction Video Review the Instructions: Follow the step-by-step guidance provided via Loom to complete the required application task: Link to Loom Instructions We are excited to review your materials and potentially welcome you to the team!

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.

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.

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

Mid-Atlantic Permanente Medical Group (MAPMG) invites applications for a Research Data Analyst II Job Summary to join our Research department. This position is a full-time opportunity based out of our regional office located in Washington D.C. with a hybrid work model. Mid-Atlantic Permanente Medical Group is comprised of more than 1,700 Permanente physicians and nearly 300 staff professionals who come together to make a positive impact on the health and lives of more than 800,000 members in Virginia, Maryland, and the District of Columbia. Reporting to a Director, Research Analytics and Data Development, the Research Data Analyst II will collaborate with investigators with designing research studies and methodologies, designing databases for research projects, and running analytical reports. You will analyze research results, collaborate with clients to identify key focus areas and priorities based on data insights, and contribute to the design of tailored data solutions. You can expect to: Serve as the primary data analyst across multiple research projects, providing analytic support and developing data solutions. Extract, manipulate, and merge large datasets; define analytical variables; and deliver tailored solutions using SAS, SQL, and related tools. Oversee all phases of programming, data management, quality control, and reporting to ensure data accuracy, integrity, and completeness. Collaborate with scientists and investigators to clarify data assumptions, guide analyses, and present findings to clients and professional colleagues. Contribute to methodology design, database development, and problem-solving to support research initiatives. What is required: Bachelor's degree required; master's in public health, biostatistics, or related field is preferred Minimum of three (3) to five (5) years of experience designing, developing, implementing, and managing research databases using SQL and SAS Strong analytical and problem-solving skills with the ability to work with large and complex datasets Proven project management, organizational, and communication skills (written and oral) Ability to translate complex data into clear, meaningful reports and presentations Collaborative team player with experience supporting multidisciplinary research teams Must be able to commute to the Washington D.C. office as needed. Candidates must either currently live in or be willing to relocate to the Washington D.C. metropolitan area Must provide documentation of the Covid vaccine 2-dose series (or J&J 1-dose) prior to October 1, 2023, or documentation for 1-dose of the most current Covid vaccine (Pfizer or Moderna) as a condition of employment; Must provide documentation for the influenza vaccine as a condition of employment Competitive Benefits: Competitive compensation package 100% employer-funded medical and dental insurance premiums for employees and families effective on the first day of employment Generous paid time off, including vacation, holidays, and sick leave, plus maternity and parental leave Pension plan, and 401(k) retirement plan with employer contributions Life insurance, short-term disability, and long-term disability coverage Education reimbursement The starting annual salary for this position ranges from $79,370.16 to $99,212.70, depending on circumstances including an applicant's skills and qualifications, certain degrees and certifications, prior job experience, training, market data, and other relevant factors. In addition to the salary range above, MAPMG offers rich benefits that add substantial value to the total compensation package. MAPMG continuously works to identify and mitigate healthcare inequities, and that starts with providing an inclusive, supportive environment for our physicians and staff. We encourage applicants of any race, color, religion, sex, sexual orientation, gender identity, or national origin who value diversity and will commit to practicing culturally competent healthcare. External hires must pass a background check and drug screening.

Thank you for your interest in careers at AAFP! The American Academy of Family Physicians and its chapters proudly represent more than 128,300 family physician, resident, and medical student members. Family physicians play a critical role in improving the health of patients, families, and communities across the United States. The AAFP is committed to helping family physicians improve the health of Americans by advancing the specialty of family medicine, saving members time, and maximizing the value of membership . Our focus every day is to help family physicians spend more time doing what they do best: providing quality and cost-effective patient care. The AAFP delivers value to its members through each of its strategic priorities. SummaryLocation: Washington, DC Hours: Monday-Friday (hybrid) Travel: Approximately 5 days per year Job Description When you join the American Academy of Family Physicians (AAFP), you are at the center of transforming health care. You are on the leading edge of ensuring family doctors have what they need to adapt, and you are part of a legacy that has been instrumental in improving and advocating for family medicine since 1947. Make an impact that matters. Be Team AAFP. SUMMARY OF RESPONSIBILITIES: The Robert Graham Center seeks a Researcher to lead and support innovative, policy-relevant research focused on primary care. This role requires expertise in analyzing electronic health record (EHR) and claims data (across Medicare, Medicaid, and commercial payers) for primary care health services research. The ideal candidate will also have experience in grant writing and a strong interest in advancing primary care through data-driven insights. Familiarity with Microsimulations, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP) is a plus. Key Functions will include: Design and execute research projects using EHR and claims data to answer primary care-relevant questions. Develop and apply simulation models to forecast policy outcomes and workforce trends. Lead and contribute to grant proposals, including conceptualization, writing, budgeting, and submission. Collaborate with internal teams and external partners to shape research agendas and dissemination strategies. Mentor junior analysts and contribute to the professional development of non-PhD staff. Translate complex data findings into actionable insights for policymakers, clinicians, and stakeholders. Author peer-reviewed publications, policy briefs, and presentations. Represent the Center in national forums, expert panels, and stakeholder meetings. Required Qualifications: PhD, or Master's degree with at least 5 years of relevant experience in Health Services Research, Public Health, Economics, Epidemiology, or related field. Experience working with EHR and claims data (Medicare, Medicaid, commercial). Proven track record of peer-reviewed publication Strong programming skills in SAS, R, Python, Stata, or similar tools. Excellent communication and writing skills. Ability to work independently and collaboratively in a small, mission-driven team. Preferred Qualifications Experience with NLP techniques applied to clinical or administrative data. Familiarity with national survey datasets (e.g., MEPS, NHIS) and statistical methods for surveys. Prior work in primary care or family medicine research. Prior success in securing research funding Experience with data use agreements (DUAs) and privacy compliance. #LI-Hybrid Compensation Salary Range $84,212.00 - $118,198.00 At the AAFP we are committed to diversity and creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, age, ethnic or national origin, gender, sexual orientation, gender identity/expression, pregnancy, marital status, religion, physical or mental disability, military/veteran status, or any other protected status. EEO Employer/Vets/Disabled For the Hearing Impaired our TTY number is: ************** We thank all respondents for their interest in AAFP. Interested in this position? Apply on-line and create a personal candidate account! Current Employees of AAFP - Please use the internal careers portal to apply for positions.

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.

Bread for the World is a Christian advocacy organization urging U.S. decision makers to do all they can to pursue a world without hunger. Our mission is to educate and equip people to advocate for policies and programs that can help end hunger in the U.S. and around the world. The Karen Sue Smith and Rose DiMartino Internship Program at Bread for the World enables you to contribute your efforts to this mission while benefiting from opportunities for supervised learning, personal development, and gain work experience. DEPARTMENT: Data, Insights and Info Systems REPORTS TO: Director of Data, Insights and Info Systems SEMESTER: Spring (January - April 2026) SCHEDULE: Part Time: up to 30 hours per week APPLY BY: December 31, 2025 PRIMARY PURPOSE: As the Data and Insights Intern, you will support the Director of Data, Insights, and IS. You will gain experience analyzing real-world data on hunger and food insecurity in the United States. The primary focus will be on Tableau to visualize the data in an easily understandable and acceptable manner. Primary responsibilities for this role will include a combination of the following: Find and gather publicly available data sets Clean, transform, and aggregate the data Assist the Director of Data, Insights and IS to create interactive visualizations and dashboards Participate in department meetings Work on additional projects as requested The intern will learn holistic data science skills in a nonprofit environment, which includes data engineering, data quality, data analysis, data visualization, and discovery/collaboration with internal clients. SKILLS/KNOWLEDGE REQUIRED: Pursuing a BA or BS degree in analytics, nonprofit management, or data science Be detail-oriented, flexible, organized and able to meet deadlines Experience with SQL, Python, or R a plus Experience with Tableau, Tableau Prep, or other data visualization tools Strong communication and interpersonal skills (written, oral, and electronic) Willingness to learn Commitment to the mission of Bread for the World WORK ENVIRONMENT ISSUES: This internship can be based in Washington, DC or remote Bread is a hybrid organization CULTURAL EXPRESSIONS: Bread is committed to advancing racial equity externally and internally, all staff members play a vital role. In the course of our work, each staff person should work to apply a racial equity lens to their work and practices; and participate in racial equity on-going training. Bread is also committed to being an equal opportunity employer. OUR VALUES: We value our faith. Our faith in Christ compels us to love our neighbors near and far and is the foundation for our hope, story, mission, and values. We value human flourishing. We believe that every human being, created in the image of God, has inherent dignity that affords an opportunity to thrive in relationship with God, self, neighbor, and the environment; and to access enough nutritious food for good health. We value justice. We seek to establish effective systems, structures, and policies that affirm equality and advance equity among all human beings to alleviate hunger and poverty. We value courage and prophetic voice. In a spirit of wisdom and love, we will be bold in articulating and pursuing our vision of a world without hunger. We value nonpartisanship. We believe that effective and sustainable public policies are made when, in good faith, we employ a civil and bipartisan approach to develop and implement laws and programs to achieve our mission. We value collaboration. We believe in working alongside and building community with a diversity of churches, interfaith communities, institutions, and individuals, including people experiencing hunger, to achieve our mission. We value impact. We strive for excellence in our work and hold ourselves and our nation's leaders accountable in the pursuit of public policies that render measurable results and meaningful change for people everywhere affected by hunger. DISCLAIMER: Background and reference checks will be conducted on all final candidates. The information in this job description indicates the general nature and level of work expected of employees in this classification. It is not designed to contain, nor to be interpreted as, a comprehensive inventory of all duties, responsibilities, qualifications, and objectives required of employees assigned to this job.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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

Summary/Objective Temporary part-time intern needed to perform data analytic duties for the bank's operations organization. Essential Functions Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Assist department with special projects as assigned Import, scrub, export, profile, verify, sort, group, combine and sample data Develop analytical scripts for assigned project Document results of analytical testing Create visualization reports for results of analytical project Skills/Abilities Professional written and verbal communication skills High level of professionalism Highly organized with attention to detail Ability to follow instructions and work independently on multiple tasks. Computer experience required, with working knowledge of Microsoft Word, Excel, and Outlook General knowledge of data analytic scripting preferred Supervisory Responsibility This position does not have supervisory responsibilities. Work Environment This job operates in an office setting, the opportunity to telework is not available. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Office environment with job duties conducted via telephone, face to face meetings, and on the computer. Physical Demands This position requires manual dexterity, the ability to lift files and open cabinets. This position requires bending, stooping or standing as necessary. Travel Limited local travel may be required for this position. Education and Experience Current undergraduate student, preferably majoring in data analytics or a related field. Equal Employment Opportunity/M/F/disability/protected veteran status Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Attain Partners is an innovative consulting firm dedicated to disrupting the status quo to change the world and improve the lives of those we touch. From strategy to technology and everywhere in between, our experts use their unique skills to advance the important missions of education, nonprofit, healthcare, and state and local government clients. People are at the center of all we do, and that's why we empower career growth, provide industry-leading benefits packages, encourage a flexible work environment, and foster a culture of inclusion to support the needs of our team. We share a collective passion for our mission and our people. Guided by our seven core values, The Attain Way, our vision is the foundation of our culture-to be and attain the best. Job Description Attain Partners is currently seeking business intelligence & data analytics interns for their summer internship program class. Come gain experience with an innovative management, technology, and compliance consulting company headquartered in the Washington, DC metro area. We Offer An eight-week paid internship program for undergraduate students who are rising seniors Consulting experience and client interactions Multiple professional development opportunities Mentorship and collaboration with skilled executives Fun team events Essential Duties and Responsibilities Contribute to analytics projects, applying a wide range of methodologies to support decision-making Conduct secondary research as needed Develop a deep understanding of key data Support optimization through channel, campaign, and pricing analyses, as well as predictive modeling Other duties as assigned Education/Experience Requirements Current enrollment in an accredited Bachelor's degree program in Business, Data Science, Computer Science, or other relevant field Ideal candidates should have some relevant business, data, or technology experience Excellent oral and written communication skills Demonstrated computer proficiency and the full suite of MS Office applications Demonstrated ability to learn new concepts/techniques and apply knowledge Strong attention to detail Preferred Skills: Proficiency in statistical software, such as R and Python Proficiency in SQL is a plus Proficiency in data visualization tools, such as Tableau Additional Information Attain Partners is a place for great ideas and the people who have them. As a management, technology, and strategy consulting firm, our professionals provide innovative solutions to revolutionize government, education, health, and nonprofit organizations and positively impact those they serve. We are business analysts, technologists, digital strategists, managers of change, and forward thinkers, with the entrepreneurial drive to shape the future. Our team is present in over 30 states and the District of Columbia. Attain Partners values your mental, emotional, and physical health and wellbeing. Our comprehensive benefits package starts on your first day of employment and includes benefits such as: Competitive health, dental, and vision coverage, HSA and FSA accounts, life and disability insurance, fertility and family planning benefits, and employee assistance and discount programs 11 paid federal holidays and flexible unlimited time off (UTO) Generous 401(k) matching with immediate vesting Flexible career paths - our career tracks provide advancement, mobility, and flexibility as you continue to grow with us A healthy environment where we value unique experiences, and care about everything that makes you, you. Attain Partners is committed to fair and equitable compensation practices. This position pays $17 per hour. Attain Partners is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Applicants have rights under Federal Employment Laws. For more Information visit EEO, EEO Poster Supplement, Family and Medical Leave Act (FMLA), and Employee Polygraph Protection Act (EPPA). If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. Demonstrated experience with general Linux computing and advanced bash scripting Demonstrated experience with SQL. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Demonstrated experience processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics Desired Skills and Demonstrated Experience Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture. Demonstrated experience using big data processing tools such as Apache Spark or Trino Demonstrated experience with machine learning algorithms Demonstrated experience with using container frameworks such as Docker or Kubernetes Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields Location: McLean, Virginia This position is onsite and there is no remote availability. Clearance: 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.