Data analyst jobs in Rockville, MD - 4,603 jobs

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose‑driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. Position Summary Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is an exciting opportunity to join a high‑performing, collaborative team as a Data Scientist. The role focuses on leveraging the Stars Data Ecosystem for Business Analytics, improving understanding of business patterns, predicting future trends, and implementing effective solutions to various challenges. Key Responsibilities Design and implement unified data pipelines in Snowflake that combine structured tables, semi‑structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). Build agentic document analytics workflows: large‑scale document ingestion, text extraction, cleaning, chunking, embeddings, vector store creation, and efficient retrieval for analytic queries. Implement Natural Language Query interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. Integrate Snowflake with LLMs (OpenAI or equivalent) for summarization, question‑answering, classification, and code‑generation using External Functions, Snowpark, and secure API patterns. Create performant retrieval‑augmented generation (RAG) architectures that leverage Snowflake‑stored embeddings and external or internal vector indexes. Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near‑real‑time and batch analytical workloads. Implement data modeling and governance patterns within Snowflake - schemas, role‑based access control, masking, lineage, and metadata for analytics and compliance. Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production‑ready solutions. Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non‑technical stakeholders. Required Qualifications - Technical Skills Statistical Analysis - proficiency in R, SAS, and Python. Data Visualization - compelling visualizations using Tableau, Power BI, and D3.js. Database Management - knowledge of SQL and NoSQL databases. Programming - strong skills in Python, Java, and C++. Expertise in unified data pipelines, agentic document analytics, NLQ interfaces, Snowflake‑LLM integration, RAG architectures, Snowpark transformations, data governance, production‑ready solutions, monitoring, observability, cost controls, and documentation. Analytical Skills Critical Thinking - approach problems from multiple perspectives. Quantitative Analysis - interpret and manipulate data effectively. Attention to Detail - ensure accuracy in data analysis and model development. Interpersonal Skills Communication - excellent verbal and written communication. Team Collaboration - work collaboratively with diverse teams. Leadership - lead projects and mentor junior team members. Preferred Qualifications Relevant experience in data analysis, machine learning, and business intelligence. Professional certifications in data science, machine learning, or business analytics are beneficial. Education A bachelor's degree in Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) are highly desirable. Anticipated Weekly Hours - 40 Time Type - Full time Pay Range - $64,890.00 - $222,480.00 Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No‑cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. Application window for this opening will close on: 01/24/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local 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 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 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 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

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

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.

Analytica is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands‑on role in modernizing data environments, leveraging cloud‑native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high‑performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns, along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest‑growing 250 businesses in the U.S. for three years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day‑to‑day lives. The company offers competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Design and implement scalable data architectures for structured, semi‑structured, and unstructured data. Lead the modernization of legacy data environments into cloud‑based big data platforms. Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies. Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. Ensure architectures support analytics, AI/ML, and business intelligence use cases. Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 8+ years of experience in data architecture, data engineering, or solution architecture, including at least 3 years with cloud‑based solutions. Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks. Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc). Experience designing data lakes, data warehouses, and streaming/real‑time data architectures. Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). Proficiency in SQL, Python, and big data query optimization. Must be U.S. Citizen. Must be able to obtain and maintain a Public Trust security clearance. Preferred Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). Experience supporting federal data modernization, digital transformation, or analytics programs. Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). Exposure to AI/ML pipelines and MLOps in cloud environments. About Analytica Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award‑winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest‑growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Equal Opportunity Employer Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws. #J-18808-Ljbffr

A technology solutions provider in Baltimore is seeking an experienced leader in data science with over 10 years in decision science or analytics. The ideal candidate has proven leadership skills and a strong background in machine learning and statistical methodologies. This role demands business leadership experience, ideally at the VP or Director level. Join a forward-thinking company that values diversity and equal opportunity. #J-18808-Ljbffr

MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Analyst to join our team in Springfield, VA Job duties include, but are not limited to: Conduct GEOINT analysis on national security issues using imagery, geospatial data, and multi-INT sources to identify trends, events, and relationships. Integrate and coordinate intelligence across agencies, mission partners, and regional/functional offices to support policy makers, the IC, DoD, NGA, ASG, and allied organizations. Research and apply structured observation management (SOM) and activity-based intelligence (ABI) techniques to enhance mission-specific analysis. Produce accurate, timely, and relevant GEOINT products, including reports, database remarks, baseline descriptions, graphics, maps, infographics, and briefings. Extract, acquire, and manage geospatial information (e.g., shapefiles, geo-databases) for visualization, modeling, and intelligence analysis. Communicate findings effectively in written, visual, and oral formats tailored to mission requirements. Prioritize and manage multiple tasks in dynamic environments while ensuring high analytical accuracy and relevance. Minimum Requirements: HS Diploma and 10+ years of GEOINT experience OR Associate's degree and 8+ years of experience OR Bachelor's degree and 6+ years of experience OR Master's degree + 6 years of experience Experience with commercial and NTM imagery sources, search missions with softcopy tools, IEC exploitation workstations, and military infrastructure/order of battle analysis. Experience conducting historical imagery research. Experience and proficiency with MS Word, PowerPoint, database entry, and graphic design principles. Desired Qualifications Regional expertise to AOR, expertise in photogrammetry, remote sensing, or image processing. Strong knowledge of the intelligence collection process to include NGA's relationships with other IC Agencies. MS Word, PowerPoint, database entry and graphic design principles skills. Security Clearance Requirements: Active TS/SCI with the ability to obtain & maintain a Poly Physical Requirements: Must be able to remain in a stationary position 50%. Must be able to communicate, converse, and exchange information with peers and senior personnel. The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Senior Analyst - Commercial Collections & Compliance The Commercial Collections & Compliance Analyst supports the operational performance of our retail real estate portfolio by creating systems, improving workflows, and delivering clear reporting for Operations, Asset Management, and Leadership. This role serves as a cross-functional coordinator with Leasing, Lease Administration, Legal, and Property Management to ensure accuracy, compliance, and timely resolution of tenant financial and operational obligations. **Hybrid schedule available, requires 3 days at our corporate office in Baltimore.** Key Responsibilities 1. Commercial Collections Management Lead the end-to-end collections process across the retail portfolio; build proactive workflows, tiering, triggers, and dashboards beyond standard automated reports. Manage arrearages 60+ days past due, escalating to legal, outside counsel, or enforcement actions when appropriate. Support bankruptcy tracking and reporting with guidance from Retail Leasing leadership and Legal. Coordinate payment plans and settlement agreements in partnership with Leasing. Oversee legal collections and evictions with outside counsel, ensuring accurate tracking across the portfolio. 2. Post-Eviction Recovery & Analysis Analyze post-eviction collectability and recommend recovery strategies. Manage the full post-eviction recovery process with outside counsel, including tracking outcomes and evaluating cost-benefit KPIs. Provide recovery performance reporting to Operations and Asset Management. 3. Compliance Monitoring: Sales Reporting & COIs Track and collect delinquent sales reports; conduct high-level audits for reasonableness and reporting frequency. Monitor tenant COI compliance and intervene when Lease Administration and Legal escalations are exhausted. Engage directly with tenants when necessary, requiring strong interpersonal and negotiation skills. Maintain accurate compliance records and communicate status updates internally. 4. Reporting, Metrics & Business Intelligence Maintain and enhance a quarterly BI matrix capturing key metrics such as arrearages, collections performance, recovery rates, COI compliance, and sales reporting compliance. Standardize processes and develop automated or semi-automated workflows where feasible. Produce actionable portfolio-level insights for senior leadership. 5. Cross-Functional Collaboration & Communication Serve as the central liaison across Leasing, Lease Administration, Legal, and Property Management. Ensure alignment on tenant status, collection strategies, compliance issues, and next steps. Provide timely updates and insights to Operations and Asset Management. Qualifications 3-5+ years in commercial property management, collections, lease administration, or similar role; retail experience preferred. Strong analytical capabilities, including BI tools, Excel, and portfolio reporting. Proven ability to build systems, workflows, and standardized processes. Excellent cross-functional communication and coordination skills. Working knowledge of commercial leases, legal processes, and tenant compliance requirements. Highly organized and effective in a fast-paced owner-operator environment. CRC is a 60+ year-old company with a best-in-class reputation as investors and operators. The firm is currently $4 billion in AUM. CRC is vertically-integrated and we are focused on delivering exceptional investment results through nuanced and thoughtful business strategies, unique to each asset.

Unlock Your Potential with the CSBS Summer Internship Program For more than 110 years, the Conference of State Bank Supervisors (CSBS) has been uniquely positioned as the only national organization dedicated to advancing the nation's dual-banking system, strengthening consumer protection, and promoting safe and sound financial supervision. Every day, we work alongside state regulators to oversee the financial services industry, foster economic growth, and drive innovative, responsive regulation. Our goal? To be the recognized leader in enhancing the quality and effectiveness of state financial oversight. Are you ready to kickstart your career in the vibrant heart of the nation's capital? The CSBS Summer Internship Program offers undergraduate, graduate, and law school students an unparalleled opportunity to gain hands-on experience, expand their professional network, and make a tangible impact in the world of financial policy and regulation. This dynamic 12-week paid internship immerses you at the intersection of policymaking, technology, business, and regulation. You'll work on meaningful, high-impact projects aligned with your background and interests, gaining exposure to industry leaders, policy experts, and fellow emerging professionals. In addition to your individual assignments, you'll collaborate with a cohort of interns on a strategic enterprise-wide project that will leave a lasting impact on CSBS. Commuter benefits are also provided. If you're passionate about government, law, technology, public policy, business, or non-profit work, this internship is your gateway to professional growth and real-world impact. Are you ready to explore, learn, and lead? Join us this summer at CSBS in Washington, DC, and take the next step in your career! Values Instilled Behaviors for Excellence (VIBE) At CSBS, work-life balance isn't just a policy; it's our VIBE! We recognize that our team members have lives that deserve attention and care. That's why we create strong, supportive relationships that help everyone grow both professionally and personally. We honor each other's expertise and speak the truth, even when it's a bit awkward. And guess what? This honesty creates a vibe of respect and trust that powers our efficiency and our excellence. It lets us chase those career goals while also nurturing our personal pursuits. At CSBS, you can thrive at work and at home-it's the best of both worlds! Just like a healthy work-life, collaboration is an essential part of CSBS's mission. In fact, it is the heartbeat of everything we do! We're all about pitching in, giving props to our colleagues, and having each other's backs. This allows us to push ourselves to our maximum potential and embrace those bold risks and innovative solutions. No matter what comes our way, our commitment to communication and teamwork strengthens us. We at CSBS are on mission and on the move, tackling all challenges together! Intern Position Summary The Data Analytics Intern will work with the Data Analytics team. The Data Analytics team is tasked with providing state agencies and CSBS staff with useful data about the financial services companies regulated by state agencies and about the state regulatory agencies themselves. The team distributes analysis in the form of quarterly publications, as well as interactive dashboards that allow users to explore large volumes of data. The Data Analytics intern will gain experience creating web-based data gathering tools and planning for/implementing a modernized data analytics environment. Essential Functions Simplify the data flow process between CSBS and state regulatory agencies. Help with creating and editing profile surveys with multiple question types. Plan for and implement a modernized data analytics environment. Build dashboards and reports. Participate in agile development process. Understand the business of financial supervision. Learn about automation using python and modeling using RStudio. Education and Experience Currently pursuing a degree in Data Science, Information Systems, Business Administration, or a related field. Experience with HTML, at least one modern programming language, and database technology. Knowledge, Skills, and Abilities Technical comprehension. Knowledge of financial regulatory analysis. Requirements Due to the nature of CSBS's business in support of state financial services supervision, all CSBS employees have the potential of interacting with confidential information related to the supervision of financial services companies ("Confidential Supervisory Information"). As a result, in addition to general business conflicts of interest, all CSBS employees are expected to disclose conflicts of interest in financial services companies on at least an annual basis and to proactively avoid such conflicts. Protect the confidentiality, integrity, and availability of CSBS information and information systems in accordance with CSBS policies and procedures. Candidate must be in the DC area and able to work in the CSBS office as needed. Compensation at CSBS At CSBS, salary offers are determined within the established range based on a candidate's experience, education, and the market demand for the role. Where appropriate, we also carefully benchmark against similar internal positions to ensure equity and consistency. In addition to competitive salaries, CSBS offers a comprehensive benefits package, a flexible hybrid work environment, and an inclusive culture. Learn more about our benefits, culture, and work environment by visiting CSBS Careers. Sponsorship Please note that CSBS is not able to provide employment sponsorship for this position.

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

A prominent health innovation organization is looking for a Data Scientist to join their Medicare Stars Team in Washington, DC. The successful candidate will design data pipelines, implement document analytics, and collaborate with various teams to translate business requirements into analytical solutions. Required qualifications include proficiency in statistical analysis, strong programming skills, and a Bachelor's degree in a relevant field. The position offers a competitive salary and numerous benefits. #J-18808-Ljbffr

A leading technology firm in Washington, DC is seeking an experienced Data Scientist to transform complex data into actionable insights. The ideal candidate will leverage expertise in statistics and machine learning to solve real-world problems. Responsibilities include data collection and analysis, model development, and collaboration across teams. A Bachelor's or Master's degree in a quantitative field and 3+ years of experience are required. Competitive salary and benefits are offered. #J-18808-Ljbffr

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted. SPA provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to a variety of Government acquisition offices. These offices span throughout the Department of Defense to include major defense programs and new weapon technology development programs. Analysts and Engineers supporting these programs would continue SPA's decades of support to high-profile, major acquisition programs. At SPA, we are committed to our nation's Military and Veterans through our partnership with Hiring Our Heroes, providing an opportunity for transitioning service members to gain valuable civilian work experience through an individual fellowship. The fellowship is open to all ranks and experience levels. During this program, the service member will be on-site performing an individual externship in a mid to mid to senior-level career-type role. The service member will be receiving on the job training, supporting a work schedule equivalent to 32 hours per week. The program provides a comprehensive fellowship experience including professional development, networking with leadership, and training specifically focused on our leadership principles, company history, stakeholder engagement, product and service overview, and core job responsibilities. Our goal is to provide qualified individuals with a full-time offer at the conclusion of the Skillbridge Externship program. Responsibilities The successful candidate will be expected to shadow and provide advanced analytical support to SPA customers in the national security and homeland defense mission spaces, applying rational, systematic, science-based techniques, and critical thinking to help inform and improve decision-making. Candidates will be expected to apply principles of mathematics and statistics, computer science, software development, and the latest technologies to design and implement an analytical infrastructure and tools, workflow processes, and complex data visualizations. The candidate may be required to: Design and execute analytical methodologies leveraging modern tools accented with personal innovation Use a variety of analytic tools and techniques to evaluate data and recommend actions to overcome challenges Effectively communicate data and analytic related topics to technical and non-technical audiences Develop or adopt data standards and frameworks to collect, integrate and link, and manage data Implement data exploration techniques, analytical methods, operations research, and modeling and simulation tools to support program execution Develop, deploy, manage, and document models and analytic methods Create software code to extract and transform data for use in analysis Develop automated analytic algorithms to assist with data management Develop plans of action and timetables in order to meet established deadlines Qualifications Required Qualifications (multiple levels needed): Experience in assisting with the development of professional reports to impact decision-making and a current Secret clearance, as well as Must be an active participant in the Hiring our Heroes Skillbridge Fellowship to be considered for the Externship. Junior: Bachelor's degree in math, physical or computer science, data science, analytics, or related STEM field Up to 3 years of experience conducting data analysis and assessment and presenting results Mid: Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field 4-10 years of experience conducting data analysis and assessment and presenting results Senior: Bachelor's degree in math, physical or computer science, data science, analytics or related STEM field 10+ years of experience conducting data analysis and assessment and presenting results Desired Qualifications: Top Secret Clearance Advanced Degree Expertise with at least one programming or query language such as R, Python, SQL, or Cypher Proficiency with relational databases or NoSQL database Previous experience working with a government agency Experience using methodologies that support technology and investment decisions to improve national security mission success #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