Data analyst jobs in Bethesda, MD - 9,148 jobs

Health AI Data Scientist The Opportunity To achieve an organization's mission, leaders need strong team members who can design, implement, and maintain strategic data management processes. Whether completing an immediate task, recognizing a process gap, identifying key stakeholders, or flexing to support an emerging requirement, our clients need a specialist who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need you, an experienced Scientific R&D Data Steward who can integrate applicable IT program management strategies to help various teams understand their vision and needs as pertaining to scientific data. As part of our team, you'll serve as a strategic technical specialist for the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government‑funded research and development programs to accelerate better health outcomes for everyone. You will work with world‑class scientists and engineers to support the development of high‑impact solutions to society's most challenging health problems. You'll leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA‑H decision makers. You will maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies. You'll serve as a Scientific R&D Data Steward helping clients to develop IT management strategies, collaborate on leadership vision, develop stakeholder management strategies, and manage client's data requirements. You will be responsible for managing incoming requirements, advising on data governance standards, advising on scientific and healthcare data repositories, data types and tools, and advising on data standards. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem‑solving will enable the mission's success. This position is a Hybrid role with Booz Allen. Candidate is expected to work on‑site at a Booz Allen or Client Facility 20‑50% of your time, as needed. What You'll Work On Build IT and data project plans and roadmaps and manage data requirements in take pipeline and prioritization. Advise on scientific and healthcare data repositories, data types, or tools that could enhance programs and advise on data standards that will support the scientific vision and long‑term growth. Identify key stakeholders to collect pain points and requirements and socialize project plans to facilitate buy‑in from stakeholders. Identify cost efficiencies regarding data and technology infrastructure requirements. Maintain current scientific knowledge of emergent biomedical data types, technologies, and standards and identify ways that re‑use of data can support better science. Advise on data governance standards, handling practices, and potential solutions for various biomedical data types. Draft policies supporting the use and sharing of agency research data and coordinate education efforts on best practices and use of data. You Have 10+ years of experience in data management and governance 10+ years of experience managing biomedical data types, including data pertaining to EHRs, radiological imaging, digital pathology, and proteomics Experience managing and handling PII, PHI, CUI, and IP data Experience implementing FAIR and FHIR practices pertaining to data management Experience drafting policies pertaining to data management and stewardship Experience implementing minimum standards as pertaining to the Gold Standard Science Executive Order Experience interacting and communicating with senior‑level executives, including SES or GS‑15 Knowledge of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage Ability to critically review and assess technical work across health data and AI domains Bachelor's degree Nice If You Have Experience supporting an ARPA or R&D organization such as DARPA Experience using Microsoft Office, including Excel, Word, and PowerPoint Ability to operate independently within a fast‑paced start‑up environment Possession of excellent verbal and written communication skills Master's degree Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Our work is conducted primarily on-site at our client location in Bethesda, MD. Fun stuff you will do: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement To be successful in this role you need the following (required): B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses 4+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. 2+ years of experience required with a Master's Must have an active TS/SCI clearance and must be able to obtain and maintain a Polygraph Proficiency in one or more scripting languages such as Python Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift. Experience with information retrieval and search, e.g. Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL) Experience working with a hybrid team of analyst, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms Previous experience performing Data Science or Research in data analytics or big data, i.e. data that won't fit in memory. Track record of active learning and creative problem solving Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. Familiarity using git or other version control technologies Our Data Scientists have opportunities to own their work and complete tasks on time with little/no supervision You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: forensic media (i.e. DOMEX); open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Experience developing predictive algorithms, image classifiers, object detectors, and others. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing. Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner. Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

A leading tech and services firm in Washington, D.C. is seeking a Clinical Data Modeler to support the Department of Health and Human Services. This role demands experience in AI/ML, programming skills in Python/R, and strong organizational abilities. Key responsibilities include developing plans for medical countermeasures and collaborating across teams for effective project execution. Competitive salary range of $70k to $120k annually offered, with hybrid work opportunities. #J-18808-Ljbffr

Employment Type Full time Department Product Deadline to Apply December 22, 2025 at 3:00 AM EST About Us Chainlink Labs is one of the primary contributing developers of Chainlink, the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance. The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, Decentralized Finance (DeFi), payments, stablecoins, and more. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, ANZ, Aave, GMX, Lido, and many others. Chainlink Labs is a world-class team of over 600 developers, researchers, and capital markets experts, and has ranked among Fortune's Best Workplaces in Technology, Fortune's Best Medium Workplace, and the Top 100 Global Most Loved Workplaces. Learn more at chain.link or chainlinklabs.com. About The Role We are looking for a data scientist who understands financial markets to build real-time pricing systems that produce high-integrity references prices across thousands of assets. As a member of this team, you'll design the models and detection logic that keep those prices trustworthy under stress. Your Impact You'll build real-time pricing systems. You'll model complex, adversarial markets to understand where risk originates. When incidents occur, you'll lead the data forensics (pre/post-trade analysis, benchmark vs. pool price deltas, liquidity gaps), quantify user impact, and ship fixes that measurably reduce recurrence. Requirements Working knowledge of core DeFi primitives and how they generate on-chain signals. Oracle literacy: how on/off-chain price feeds are constructed (CEX/DEX sourcing, outlier trimming, medians/TWAPs), and common failure modes (staleness, rubber-banding/instability, flatlining, thin-liquidity manipulation, flash-loan driven spikes). On-chain data fluency: reading EVM logs/traces, ABIs and token standards (ERC-20/721/1155), identifying swaps/transfers/liquidations in event streams, and understanding subgraph/indexing patterns. Blockchain fundamentals that impact alerting: block production/finality/reorgs, mempool dynamics, gas markets, and chain-specific latency characteristics that influence MTTD/MTTR and false positives. Market microstructure awareness: liquidity depth, slippage, pool imbalance, funding rates/open interest (for perps), and how these drive benchmark construction and deviation alerts. Preferred Requirements Hands-on with Chainlink data products (Data Feeds/Mercury/Streams/CCIP) and oracle attack surfaces; prior incident response or post-mortem work on price/peg/latency events. Ability to read simple smart contracts (Solidity/Rust) to validate event schemas; experience operating against major RPC providers and with indexing stacks (subgraphs, BigQuery public chains). Experience designing anomaly detection for financial time series and standing up SLO-driven alerting with Prometheus/Alertmanager/Grafana/Flink + on-call tools (PagerDuty). Python/SQL with web3 libraries (web3.py/ethers), ABI decoders; Dune/Flipside/Covalent/BigQuery; Kafka/stream processing. Portfolio showing dashboards/alerts for protocol health, price benchmarks vs. pool prices, and data-quality detectors (staleness/flatline/latency). All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. #J-18808-Ljbffr

A prominent defense consulting firm based in Washington, DC is seeking candidates for an analytical externship as part of the Hiring Our Heroes Skillbridge Fellowship program. The role involves providing analytical support in the national security sector, requiring a Bachelor's degree in a related STEM field along with experience in data analysis. Candidates with varying levels of experience are encouraged to apply, as the position aims to guide transitioning service members towards valuable career opportunities. Opportunities for both junior and senior candidates are available. #J-18808-Ljbffr

TLA is seeking an experienced and curious Data Scientist to join our team and transform complex data into actionable insights that drive strategic business decisions. The ideal candidate will combine expertise in statistics, programming, and machine learning to solve real-world problems and enable smarter business processes through analytics. You will work cross-functionally to define requirements, build predictive models, and communicate findings to technical and non-technical stakeholders. Key Responsibilities Data Collection & Preparation: Collect, clean, and preprocess large, complex datasets from various internal and external sources to ensure data integrity and usability. Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to identify patterns, trends, anomalies, and uncover hidden opportunities. Model Development & Implementation: Design, develop, test, and validate statistical and machine learning models (e.g., classification, regression, clustering) to forecast trends, optimize operations, and improve product offerings. Data Storytelling & Communication: Translate complex technical findings and data insights into clear, compelling narratives and visualizations (reports, dashboards, presentations) for key decision-makers across the organization. Collaboration: Partner with data engineers, software developers, and business stakeholders (marketing, product, operations) to implement data-driven solutions and integrate models into production environments. Experimentation: Design and execute A/B testing and other experiments to measure the effectiveness of new initiatives and continuously improve model performance. Innovation: Stay up-to-date with the latest tools, technologies, and methodologies in the data science field, including AI and large language models (LLMs), to drive innovation. Qualifications Education: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline. Experience: 3+ years of hands‑on industry experience in a data science or machine learning role. Programming Languages: Strong proficiency in Python or R for data analysis and statistical modeling, and advanced knowledge of SQL for data extraction and manipulation. Machine Learning: Practical experience applying a range of machine learning techniques and algorithms (e.g., scikit‑learn, TensorFlow, PyTorch). Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data insights effectively. Analytical Skills: Strong analytical and problem‑solving abilities, with an emphasis on critical thinking and the scientific method. Communication: Excellent verbal and written communication skills with the ability to explain complex data science concepts to non‑technical audiences. Preferred Certifications Microsoft Certified: Azure Data Scientist Associate IBM Data Science Professional Certificate Certified Analytics Professional (CAP) AWS Certified Machine Learning - Specialty TensorFlow Developer Certificate At TLA, we build solutions that matter-supporting national security missions through technology innovation, collaboration, and excellence. Our team is passionate about leveraging modern technologies to deliver impactful, mission‑focused outcomes for our customers. We offer a competitive and comprehensive benefits package including: Competitive salary and performance bonuses Medical, dental, and vision coverage Paid time off and federal holidays 401(k) with company match Education and certification reimbursement Training and professional development opportunities Employee referral bonuses and team events TLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

A federal IT services provider is seeking a skilled Data Scientist to develop complex data models for workforce planning strategies. The role involves using machine learning and deep learning techniques to derive insights from large data sets. Ideal candidates should have over 3 years of experience in Data Science or Analytics, strong mathematical capabilities, and proficiency in programming languages such as Python. This position requires a collaborative mindset, as you will work closely with diverse teams to drive impactful data solutions. #J-18808-Ljbffr

A design and consulting firm is seeking a Senior Business Analyst to drive project success through meticulous requirements gathering and strong stakeholder management. This position involves leading cross-departmental collaboration, documenting business needs, and fostering team growth. With over 5 years of experience required, candidates should be well-versed in digital development tools, communication, and governance. The role offers a competitive salary within the range of $80,000 - $110,000 and a comprehensive benefits package. #J-18808-Ljbffr

Senior BI Anayst (Legal ++) Compensation: $150,000 - $180,000 Base Salary with OT & Bonus Ranking: Top 10 Midsize Firm Logistics: NY, DC, LA Responsibilities: Work closely with the Chief Information Officer and department leaders to design, build, and maintain Power BI data models, dataflows and dashboards. Develop and maintain a data warehouse environment using Microsoft Fabric and Power BI. Create ETL pipeline using Power Query and related tools. Build and manage Power Automate workflows to support business process automation. Develop document automation solutions to reduce manual administration work. Prototype and deploy solutions using Microsoft Azure AI Services, AI Apps, and AI Agents. Assist in researching, testing, and evaluating new technologies for business operations and legal services needed. Collaborate with business stakeholders to document requirements and develop scalable solutions. Define and implement best practices for data governance, automation standards, and AI tool usage. Provide guidance and knowledge transfer to IT team members.

A leading logistics company is seeking a Director of Data & Analytics to drive their e-commerce data strategy. You will lead a high-performing team in establishing a scalable data foundation, delivering insights for operational efficiency, and fostering a data-driven culture. The ideal candidate has substantial experience in data roles, strong leadership capabilities, and familiarity with modern data tools. Competitive compensation includes a base salary and potential bonuses. #J-18808-Ljbffr

A financial services company in Bethesda, Maryland is seeking a Director of Data Strategy and Analytics. This role involves leading a team to enhance data solutions and reporting strategies. The ideal candidate has a Bachelor's degree, at least 8 years of experience in data analytics, and strong leadership skills. Comprehensive benefits and a competitive salary ranging from $191,499 to $328,284 are included. #J-18808-Ljbffr

Basic Qualifications: U.S. Citizenship Required. Must have the ability to obtain / maintain a Public Trust clearance. Bachelor's degree and 8 years of experience or Masters degree and 6 years or Associate's degree and 10 years experience or HS diploma/equivalent and 12 years experience. Proficiency in data modeling, ETL/ELT design, and data integration frameworks. Experience defining enterprise data standards and governance models. Knowledge of SQL, data warehousing, and performance optimization. Experience implementing data security and access control policies (NIST RMF, FISMA, FedRAMP). Understanding of metadata management and data cataloging practices. Preferred Qualifications: Previous experience working with or for the FAA, DOT, or state aviation authorities. Familiarity with data visualization and analytics platforms (Tableau, Power BI, Databricks). Knowledge of AI/ML data pipelines, streaming data, and predictive analytics architectures. Experience applying Zero Trust data principles and data resiliency strategies. Professional certifications such as AWS Data Analytics Specialty, Google Cloud Data Engineer, or CDMP (Certified Data Management Professional). Familiarity with FAA acquisition, AMS standards, and federal data compliance frameworks. Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected. We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. At Peraton, you won't just support the mission - you'll define it. Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a Data Architect to join our team of qualified, diverse individuals. The ideal candidate will define data models, governance frameworks, and integration standards to ensure the FAA's data infrastructure supports secure, scalable, and mission‑critical operations. You will ensure that FAA modernization initiatives, safety programs, and infrastructure projects are aligned with the unique operational and cultural needs of Alaska's aviation ecosystem. In this position, you will: Design, develop, and maintain enterprise data architectures, models, and integration frameworks for FAA systems. Define and enforce data governance, quality, and lifecycle management standards. Collaborate with engineers and analysts to ensure data alignment across applications, cloud platforms, and enterprise systems. Lead efforts to migrate and modernize data environments, ensuring scalability, resiliency, and compliance. Establish and maintain data dictionaries, schemas, and metadata repositories. Provide technical guidance and architecture reviews for new and existing FAA programs. Design and implement data pipelines and integration solutions supporting analytics and operational systems. Support the development of data strategies, roadmaps, and enterprise data services aligned with FAA objectives. Ensure data solutions comply with FAA security policies, privacy regulations, and federal IT standards. Communicate architectural decisions, trade-offs, and recommendations to technical and executive stakeholders. Collaborate closely with systems engineers, software developers, cybersecurity professionals, and FAA leadership to architect data solutions that enable smarter decision‑making and enhance aviation safety. Experience preparing audit‑ready architecture documentation and technical reports. Ability to assess data interoperability, lineage, and quality across multiple systems. Proven experience leading cross‑functional data modernization initiatives. Why This Role Matters As aviation and federal programs evolve, any weakness in underlying infrastructure can impact operations and service delivery on a national scale. As a Data Architect, you will play a vital role in ensuring that the FAA's data systems are integrated, secure, and optimized for performance-supporting initiatives such as NextGen modernization, airspace optimization, and safety analytics that directly influence the future of U.S. aviation. #J-18808-Ljbffr

A leading consulting firm is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions for federal government missions. This role involves modernizing data environments using cloud-native technologies and advanced data engineering frameworks. Candidates should have strong expertise in cloud platforms and data architecture patterns. Competitive compensation and benefits are provided, including health care and 401(k) match. #J-18808-Ljbffr

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

Job ID 2025-12906 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Junior Data Analyst responsible for quality delivery of reporting and analysis as part of a Strategic Workforce Analytics program for a U.S. Federal Government Agency. This position will work in a classified environment to produce analyses and visualization to multiple clients within the department, agency, and federal government. The Data Analyst will collaborate with human resources SMEs, data engineers, and developers to query and structure data, develop metrics and visualizations, and deliver reports. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. LMI offers a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flexible work schedules, remote and hybrid work opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees.Come join the organization consistently ranked as a top workplace! This position requires an active TS/SCI clearance; TS/SCI with polygraph preferred. Responsibilities Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, interpret analytic results, etc. Implement pre-specified research or analysis plans. Provide regular detailed reporting to management and customers Collaborate with the team internal and external timely and proactively Define and develop techniques to integrate, consolidate, and structure data for analytical use. Understand and analyze complex and organization-specific datasets. Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. Develop briefing packages to communicate complex ideas to non-technical customers. Advise on the interpretation and use of data analysis products and reports. Qualifications Bachelor's degree in science, engineering, mathematics, computer science, economics, human resources, or related discipline Experience developing dashboards using Tableau or other data visualization tools Experience with programming languages like Python or R Excellent communication skills and proven ability to work with business customers and technical teams Active TS/SCI clearance; TS/SCI with polygraph desired. Ability to work in a team-based environment Ability to travel to and work on client sites Highly organized and able to manage multiple projects simultaneously Excellent analytical, problem solving, and presentation skills Excellent customer relationship management skills Desire and willingness to gain technical skills and capabilities in strategy development, talent management, process mapping, organizational change, workforce planning and analysis, data analysis and visualization, and/or competency management, to include desire to obtain relevant industry certifications Management consulting experience desired Experience with tools and methods for project management, data analysis, business analysis, and/or strategic communications and multimedia Innovative problem solving ability Able to work effectively at all levels of an organization. #LI_SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage. Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability. Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking. Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques. Responsibilities Develop and maintain data pipelines and workflows using Data Factory and SQL Server Integration Services. Format data from APIs into SQL servers. Collaborate with stakeholders to gather data requirements and ensure alignment with business needs and objectives. Design and build data pipelines for data collection, connection, and storage. Develop and enforce data engineering policies and best practices to ensure data integrity. Proficient in querying MongoDB and integrating data across database systems for efficient data retrieval and processing. Ensure data quality and performance at scale. Ensure high performance and scalability of data systems and processes. Help with the collection, connection, and storage of data. Optimize existing data workflows and ensure system reliability. Collaborate with team members and participate in team projects and initiatives. Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. 3-5 years of experience in data engineering and governance. Advanced knowledge of SQL language. Advanced understanding of API frameworks and JSON transformations. Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.). Basic understanding of business and operating environment. Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#). Experience with data management, processing and analytic tools (Databricks). Experience with data integration and processing tools. Basic problem-solving skills. Basic communication and collaboration skills. Working experience with data warehousing solutions, ETL tools, and data system design. Basic knowledge of data engineering principles, technologies, and architecture. Hours: Monday - Friday, 8:00AM - 4:30PM Locations: 820 Follin Lane, Vienna, Virginia 22180 | 5550 Heritage Oaks Drive, Pensacola, FL 32526 | 141 Security Drive, Winchester, VA 22602 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* Fortune 100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom Fortune . 2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Arcland Property Company is the largest privately held owner, manager and developer of self storage in the Mid-Atlantic Region and rapidly growing regionally and nationally under the Self Storage Plus brand. We are seeking a candidate to join our team as an Acquisitions and Development Analyst. Position Summary: The ideal candidate must be a highly motivated self-starter who is intellectually curious, enjoys working in a fast-paced environment, and adapts easily to change. The Acquisitions and Development Analyst will be involved in all stages of the investment and development cycle. Essential Duties and Responsibilities Support the Acquisitions Team in underwriting and evaluating potential Class-A self storage development sites and existing assets nationally Prepare and maintain advanced financial models to support investment decisions, including detailed capital stack structuring and equity waterfall analyses Support the capital markets team to raise debt and equity for new investments Assist in preparing investment committee materials and presentation decks Maintain pipeline database Perform asset level due diligence and assist in deal execution Engage in outreach with storage owners, developers, and brokers within the commercial real estate industry Perform ad-hoc analyses critical to investment decision-making and market strategy Qualifications and Skills 1-2 years of experience in commercial real estate, finance, consulting, or a related field Strong analytical background with an interest in real estate investment and development Proficiency in Microsoft Office & Excel; familiarity with real estate financial modeling a plus Highly organized, detail-oriented, and adaptable Opportunistic, entrepreneurial spirit, “go-getter” Strong written and verbal communication skills Comfortable working both independently and as part of a small, collaborative team Bachelor's degree in real estate, finance, business, economics, or related field preferred In-office work required Compensation and Benefits Arcland offers a competitive salary based on experience and qualifications, as well as an excellent benefits package including: Employer-paid medical, dental, vision, disability, and life insurance 401(k) savings plan with employer match Flexible spending accounts Paid time off Professional development and mentorship opportunities If you're an ambitious and analytical individual looking to grow your career in commercial real estate, and you're excited to be part of a rapidly growing company and entrepreneurial environment, please reach out.

A leading technology services provider seeks a Technology Architect to design advanced SAP solutions focused on S/4HANA. You will lead architecture for BW on HANA systems, manage data integration processes, and work with stakeholders to drive modern data strategies. Candidates must have 8-10 years in SAP BW with strong skills in data modeling and provisioning. This hybrid role offers competitive pay between $112,500 and $132,000 and includes benefits such as medical insurance and a 401(k) plan. #J-18808-Ljbffr

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”