Data science internship jobs in Lexington Park, MD

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Full-time Description Client Solution Architects (CSA) is currently seeking a Senior Data Management Analyst to support a program at Dahlgren Naval Base. For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions. This position is contingent upon award. How Role will make an impact: Develop and maintain documentation and or data management systems in a Windows environment Define the nature and extent of problems Collect, review, and analyze information to make recommendations to the Government Requirements What you'll need to have to join our award-winning team: Clearance: Must possess and maintain an active Secret Clearance Six (6) years of professional experience in relation to developing and maintaining documentation and or data management systems. Qualifying experience in a Windows environment, Microsoft Office (Excel and Word). This position is required to be designated as IAM III level

Must be a U.S. Citizen Clearance Required: Active Secret Education: BA/BS degree Experience Required: Over 7 years of combined experience performing duties described in the functional description. A Bachelor's plus two years additional work experience, an Associate's plus four years additional work experience, or six years additional work experience may be substituted for a Master's Degree Functional Description: The principal focal point within a program/competency and is responsible for ensuring compliance with policies and procedures. The Data Manager (DM) is the liaison between IPT members. The decision to procure data and associated rights should include a thorough examination of each data requirement, the life cycle requirements, sustainment cost, and the capability of maintaining and utilizing the data in the future. Benefits: Medical, Dental, & Vision Plan, short- and long-term disability, accidental death & dismemberment, 401K retirement & matching, Tuition assistance program, direct deposit, leave package and 11 paid federal holidays. Salary: The projected salary range for this position is $75,000 to $80,000; however, this is not a guarantee of salary. Salary will be set based on experience and contractual requirements.

At BlueHalo, an AV Company, our Cyber experts operate at the mission's edge. Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science. Our team is expanding to do the big things that have never been done before - the things the nation and the world are counting on us to deliver. Join the transformation and help us make this impact now. We are seeking talented Data Scientists at all levels to join our Intel Division team. You're required to have this * Level 2: * Bachelor's Degree with 3 years of relevant experience * Associates degree with 5 years of relevant experience * Level 3: * Bachelor's Degree with 10 years of relevant experience * Associates degree with 12 years of relevant experience * Level 4: * Bachelor's Degree with 15 years of relevant experience * Associates degree with 17 years of relevant experience * Experience with software development working with Python in a Unix environment. * Experience using the Unix command line. * Practical knowledge in Python Machine Learning and Data Visualization * Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning * Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. * An active TS/SCI with polygraph You could also have this * Experience using the Atlassian Tool Suite. * Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS * Working knowledge with other object-oriented programming languages such as Java or C++ * Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Salary Range: $107,000 - $212,000 The BlueHalo, an AV Company, pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Our compensation package also includes components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs. About BlueHalo, an AV Company, Intelligence Systems BlueHalo, an AV Company, Intel division provides specialized operational support, services and technology to plan, design, develop and execute critical missions in the national security community. BlueHalo, an AV Company, generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence. BlueHalo, an AV Company, is a national source for classified Cyber/SIGINT missions and a leading provider of blockchain/crypto analytics and platform cyber resiliency, specializing in offensive and defensive cyber and SIGINT warfare technologies.

Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities We are looking for a talented and highly motivated intern to help advance our efforts in building autonomous data management systems. The work will include using foundation models (FMs) and AI agents for tasks such as data discovery, knowledge representation, data access and retrieval with querying, and automated data-driven insights. This is the core of the role: turning FMs and AI agents into dependable partners for real data work across modern data stacks. Our focus is on research and development for data workflow orchestration - taking natural language all the way to trusted insights across multiple tools and functions. This includes step-by-step planning and reasoning for complex data workflows, developing low-computational-cost inference techniques so FMs and AI agents can efficiently automate or assist users on data tasks, and advancing trustworthy data agents where gauging factuality, faithfulness, and transparency of outputs over structured and unstructured data is critical. In this context, uncertainty quantification and mitigation, along with improved planning and reasoning, play a central role, providing useful tools to strengthen user confidence, manage model error propagation, and enable uncertainty-aware post-training. Together, these efforts make agentic solutions more efficient, accurate, and trustworthy. Skills and tasks of interest include: * [LLM for code generation] Using foundation models for code generation specific to data tasks such as SQL or NoSQL for data retrieval, python code generation for analytical insights. * [Knowledge Graphs, Multi-Modal FMs] Combining foundation models, knowledge graphs, multi-modal structured and unstructured data to improve data discovery and automated Text-to-SQL. * [FM Inference] Improving FM inference for both answer quality and computational cost. * [LLMs for DataOps] Creating generative-AI tooling for DataOps (e.g., data integration and flows), analogous to DevOps accelerators but for data engineering and analytics. * [Efficient and Reliable AI Agents] Creating efficient AI Agents that can reliably operate as part of an autonomous system. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * Pursuing graduate studies in computer science or related fields * At least one main author research publication at a top conference in AI such as NeurIPS, AAAI, VLDB, SIGMOD, IJCAI, ICML, ICLR, and ICAPS * Familiarity and working expertise with large language models Preferred technical and professional experience * Familiarity with knowledge graphs, SQL, RAG, Agentic frameworks * Familiarity with reinforcement learning, AI planning * Familiarity with prompt optimization techniques ABOUT BUSINESS UNIT IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Weeghman & Briggs is seeking Data Scientists to join our growing team. Clearance Required: TS/SCI w/ Polygraph Job Description: We're searching for Data Scientists to contribute to an important mission within the Federal Government. Data Scientists shall possess the following capabilities: Candidates should be proficient in 2 or more of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. Data Scientist Level 3 Salary: $158,000 - $176,600 (Maryland) Qualifications: Master's Degree with 8 years of relevant experience Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Benefits: **************************************************************** Weeghman & Briggs was established in 2016. We are a team of like-minded people who do business, generate ideas and realize them. Consulting and Cyber Security are our main directions and we know how to deal with many current issues and provide the best services in offering resolutions. Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Requirements Education Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities Engage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise strategies for extracting semantic value from large datasets. Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions. Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations. Required Skills/Experience Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora) Experience with programming in R, Python, Java Experience with NoSQL databases ( e.g., MongoDB, Accumulo) Experience designing data models and approaches Experience working in a cloud environment ( e.g., AWS, Azure) Experience with Linux Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus Experience with Data catalogs and data management Ability to help visualize the data for analysis and to display results Why You Might Like This Job: You're tired of working for a massive organization. You want to work for an established company that values your stable career. You want to work with a team who loves their job and making cool stuff. You want to be part of a team focused on making a positive impact. You want to grow your skills in management or work toward becoming an expert. You want to have the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Benefits: Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity. Comprehensive time off and leave programs: 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays Parental Leave: 40 Hours Bereavement Leave: 24 hours. Military Reserve Leave (up to 80 hours, see employee handbook for details). Jury Duty Leave 16 hours. Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details). Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families Vision Insurance Dental Insurance includes orthodontics coverage Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support: reimbursement up to the federal max of $5,250 Company apparel: $200 for company apparel each year Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you! EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

Employment: Full-time Clearance Requirement: TS/SCI with Polygraph Competitive salary and benefits An opportunity is available for a talented Data Analyst / Data Visualization Specialist to support the development of enterprise-facing software analytics and visualizations. This role involves working closely with subject matter experts (SMEs), software engineers, and cloud developers to translate complex data into actionable insights and user-friendly visualizations. Key Responsibilities: Collaborate with subject matter experts (SMEs) to understand and interpret source data. Transform SME input into structured feature vectors for use in analytics development. Convert customer requirements into data-driven software visualizations. Guide and oversee the development of analytics, ensuring quality and alignment with business needs. Partner with engineering and cloud development teams to integrate analytics into production environments. Required Skills and Experience: Proficiency in data analysis tools such as SQL, Spark, and ETL frameworks. Experience with data visualization platforms (e.g., Tableau, Power BI). Strong understanding of enterprise relational databases and diverse data sources. Familiarity with enterprise-level business data structures and usage. Ability to quickly grasp technical concepts and collaborate across functional areas. Demonstrated ability to design intuitive, impactful data visualizations. Strong written and verbal communication skills. Capable of working independently with minimal supervision. Preferred Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related technical field. Professional certifications in data analytics, visualization, or related areas are a plus. Benefits Overview: Competitive compensation structure Comprehensive healthcare coverage (medical, dental, vision) 401(k) with matching contributions Generous paid time off and holiday schedule Flexible work hours and remote/hybrid options Professional development and training support Student loan repayment and community service opportunities Interested candidates should submit a current resume and any relevant certifications. We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law. https://www.staffed4u.com/

Data Scientist Clearance: Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Data Scientist to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as it continues to look for ways to enhance its layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities. Responsibilities Provide senior-level Subject Matter Expertise (SME) for the data sciences team, consisting of government personnel and contractor team Make significant contributions and provide support to initiatives, workstreams, and collaboration in these areas: Research, Exploration, and Innovation. Explore emerging data science methods and techniques. Leading and supporting proof-of-concept (POC) projects to evaluate and validate new approaches and capabilities. Uncover anomalies and trends Predictive Analytics, Artificial Intelligence (AI,) and Machine Learning (ML). Build predictive models and advance AI capabilities to enhance mission-critical decisions and improve system effectiveness Model Development, Deployment, and Optimization. Develop and maintain models using AI/ML and statistical techniques. Deploy models into production environment(s) with continuous optimization through adaptive learning and model training Natural Language Processing (NLP). Apply NLP techniques for domain-specific challenges, including global name matching and text analysis, to support real-time operations Collaborate with analytics and engineering teams to translate insights into actionable outcomes and ensure seamless model integration Collaborate with computational linguistics on cultural and linguistic considerations, refinements, and solutions Create and maintain relationships between data sources and data sets to facilitate and maximize analyses Create and present summaries of findings through effective communications and visualizations Qualifications Required: 10+ years of relevant experience 3+ years working in a data scientist role and with AI/ML Python and/or R proficiency Advanced SQL skills and experience working with large datasets Experience with environments and tools listed below On-premises and Cloud database, data science, and data analytics environments IBM Integrated Analytics System, IBM Sailfish (formerly Netezza; hardware-accelerated database appliance), AWS Redshift, or similar products Data science toolkits Notebook environment Apache Zeppelin or similar web-based notebook collaboration environment (e.g., JupyterLabs) Data visualizations and interactive dashboards Microsoft Power BI Server, Tableau, or similar Preferred: Experience working in a TSA mission or DHS environment Experience working in data science and data analytics environments Experience working in an AWS Cloud environment Experience working in Agile environments Master of Science degree Company Overview Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward-leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure. Integral is headquartered in McLean, VA and serves clients throughout the country. We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal! Our package also includes: · Medical, Dental & Vision Insurance · Flexible Spending Accounts · Short-Term and Long-Term Disability Insurance · Life Insurance · Paid Time Off & Holidays · Earned Bonuses & Awards · Professional Training Reimbursement · Paid Parking · Employee Assistance Program Equal Opportunity Employer/Protected Veteran/Disability

At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications TS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant Experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Wyetech, LLC 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, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or ********************. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

Annapolis Junction, MD TS/SCI Full Scope Poly We are seeking a motivated Mid-Level Data Scientist to join our Cyber Threats team. This role focuses on analyzing complex cyber threat data, developing actionable insights, and supporting decision-making within the Task Force. The ideal candidate is passionate about data science, skilled in scripting, and eager to grow expertise in data science tools, techniques, and frameworks. Key Responsibilities: Analyze and interpret cyber threat data to support the Cyber Threats Task Force mission Develop and maintain scripts for data processing, analysis, and reporting Collaborate with team members to design and implement data-driven solutions Continuously learn and apply emerging data science tools, techniques, and frameworks Present findings and recommendations to internal stakeholders Qualifications: Strong scripting skills (Python, R, or similar) Experience in data analysis, data manipulation, or related work Demonstrated interest in learning advanced data science techniques and frameworks Ability to work collaboratively in a dynamic, mission-focused environment Preferred: Experience in cyber threat intelligence or cybersecurity data analysis Familiarity with data visualization tools (e.g., Tableau, Power BI) Knowledge of machine learning concepts and applications

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations. Requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position requires being able to develop rapid prototypes and analytics to show metrics on sensor performance. A SIGINT background is a strong foundation for this team. PROFORMA or other RF experience and/or 451/452 is a nice to have. Qualifications: Bachelor's Degree with 10 years of relevant experience. Associates degree with 12 years of relevant experience. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. TS/SCI with polygraph is required.

Data ScientistLOCATIONAnnapolis Junction, MD 20701CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a curious and innovative Data Scientist to join our team and help transform data into actionable insights. In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making. Collaborating with cross-functional teams, you will analyze large datasets, develop predictive models, and communicate findings to drive business success. If you are passionate about using data to create impactful solutions and thrive in a dynamic, fast-paced environment, we encourage you to apply! *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics Specialist, Computational Scientist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research, Physics, Computational Biology, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Analyze large datasets Build predictive models Design data-driven solutions Present insights to stakeholders Clean and preprocess raw data Collaborate with cross-functional teams REQUIRED SKILLS Proficiency in Python or R Expertise in machine learning Data visualization skills Statistical analysis SQL querying Experience with big data tools DESIRED SKILLS Knowledge of deep learning frameworks Familiarity with cloud platforms Experience with A/B testing Proficiency in natural language processing Understanding of time-series analysis Expertise in optimization algorithms PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

Maintains, improves, cleans, and manipulates data in the business's operational and analytical databases. Works with software engineers and data analytics team in order to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues. Provides support in database design, data flow and analysis activities. Defines and builds the data pipeline that will enable faster, better, data -information decision making within the business. Develops customized data solutions that align to enterprise strategy and related business architecture. Adheres to data architecture principles and plans for master data management and data governance, and create models of data that enable the implementation of the intended data architecture. Performs Software Architecture functions as required. Analyzes client operations, applications, programming, client objectives and current systems. Supports activities that include but are not limited to; code development, testing, responding to user questions, and assisting the resolution of issues. Applies data mining techniques, statistical analysis and builds high quality prediction systems integrated with products. Automates scoring using machine learning techniques. Builds recommendation systems. Improves and extends the features used by existing classifiers. Requirements Education Level: Bachelors Minimum Years of Experience: 2 Education/Experience Substitutions: Associate's degree + 2 years relevant experience or 4 years relevant experience. Professional certification in lieu of a Bachelor's degree

**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.

Full-time Description Client Solution Architects (CSA) is currently seeking a Senior Data Management Analyst to support a program at Dahlgren Naval Base. For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions. This position is contingent upon award. How Role will make an impact: Develop and maintain documentation and or data management systems in a Windows environment Requirements What you'll need to have to join our award-winning team: Clearance: Must possess and maintain an active Secret Clearance Six (6) years of professional experience in relation to developing and maintaining documentation and or data management systems. Qualifying experience in a Windows environment, Microsoft Office (Excel and Word). This position is required to be designated as IAM III level

Clearance Required: TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $195,000 - $231,000 (USD) Note: This does not include discretionary bonuses or benefits. Actual salary will vary based on location, experience, education, and skill level. A mission-critical opportunity is available for a Data Scientist to design, develop, and implement advanced analytics to solve complex data challenges in a secure environment. This position focuses on translating subject matter expertise into scalable machine learning, statistical, and graph-based models, and transitioning prototypes into production-ready solutions in support of national security objectives. You will lead data exploration, feature engineering, model development, and integration efforts - helping to automate analysis workflows, generate insights, and inform strategic decision-making. Key Responsibilities: Develop machine learning, statistical, and graph-based models to analyze complex datasets Translate qualitative analytic requirements into quantitative models and software prototypes Produce data visualizations and dashboards to highlight key insights and trends Work with subject matter experts (SMEs) to extract meaningful features from structured and unstructured data (e.g., logs, metadata, databases) Prototype and evaluate multiple algorithmic approaches, selecting the best based on empirical performance Tune model hyperparameters and input features to optimize performance Validate models using standard evaluation techniques (e.g., cross-validation, ROC curves, confusion matrices) Develop experiments or simulated data when real-world data is unavailable Guide and oversee analytic teams throughout the development lifecycle Transition analytic prototypes to scalable, production-ready software Collaborate with software engineers and cloud developers to integrate analytics into broader systems Stay informed on emerging machine learning and AI techniques, and guide their practical application Lead development of automated systems to support mission-driven objectives Required Qualifications: Clearance: Active TS/SCI with Polygraph Education: Bachelor's degree or higher in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Engineering, Operations Research) OR 4 additional years of relevant experience in lieu of degree Experience: 10+ years in at least two of the following areas: Machine learning Data mining Advanced analytics or statistical analysis Artificial intelligence Software engineering for data analysis Experience with tools such as Python, R, SAS, or MATLAB Experience leading analytic teams and managing end-to-end model development Education Substitution Options: A Master's degree in a quantitative field may substitute for 2 years of experience A Doctoral degree in a quantitative field may substitute for 4 years of experience Preferred Qualifications: Hands-on experience transitioning models from prototype to production Familiarity with cloud platforms, distributed data systems, and production analytics frameworks Understanding of advanced performance metrics, interpretability techniques, and model governance Experience designing and managing data pipelines and ETL processes Strong written and verbal communication skills to engage technical and non-technical stakeholders Qualified candidates with the required clearance and relevant data science expertise are encouraged to apply. Please submit a resume detailing your technical experience, education, and security clearance status. We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law. https://www.staffed4u.com/