Data science internship jobs in District of Columbia - 324 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

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

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 leading analytics firm located in Washington, DC is seeking a data analyst to collect and analyze statistics from various sources, conduct statistical modeling, and develop data visualization tools. The ideal candidate will strategize to identify new data opportunities and communicate findings to both business and IT leaders to drive organizational decisions. The company values employee growth and offers extensive training and development opportunities. #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

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

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 2026-13490 # of Openings 1 Category Internships Benefit Type Hourly Low Fringe/Intern LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients. This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer. *This position is currently full-time onsite at the customers Washington DC office. 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. Responsibilities Participate in research and development efforts focused on emerging AI and data science methodologies. Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. Develop and implement AI/ML algorithms to solve real-world problems. Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure. Create data visualizations and dashboards to present analytical insights effectively. Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems. Qualifications Current enrollment in a degree seeking program required Availability to work full-time for at least 10-12 weeks for summer 2026 Must be available starting at the end of May 2026 Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with software development, cloud computing (AWS, Azure), and algorithms. Strong analytical and problem-solving skills with the ability to work on complex datasets. Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus. Strong communication and teamwork skills. Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. DESIRED QUALIFICATIONS/SKILLS Experience working with Microsoft Excel and Access. Experience with Visual Basic for Applications and Java is highly desirable. Programming experience-ability to program and learn new programming languages quickly. 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.

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.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. Managing model risks in line with Visa Model Risk Management requirements. Conducting modeling analysis to address internal and external clients' questions and requests. Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. Position requires the following: Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). Scripting in Python, Unix or Linux. Using SQL for extracting and aggregating data. Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements:This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

JOB SUMMARY: The Center for Strategic and International Studies (CSIS) is a non-profit, bipartisan public policy organization established in 1962 to provide strategic insights and practical policy solutions to decision makers concerned with global security and prosperity. Over the years, it has grown to be one of the largest organizations of its kind, with a staff of some 250 employees, including more than 120 analysts working to address the changing dynamics of international security across the globe. The Trustee Chair in Chinese Business and Economics provides unmatched thought leadership for the Washington policy community by examining China's economy and its commercial relationship with the United States and the rest of the world. We examine trends in Chinese industrial policy, its overall economic performance, and developments in key sectors, its financial sector, international trade and supply chains, and the political economy of clean-tech and climate governance. Our analysis is shared with the policy community, business leaders, scholars, and the public through reports, commentaries, interactive digital content, events, and briefings. The Trustee Chair in Chinese Business and Economics is seeking two part-time paid research interns who can provide dedicated support for research and analysis, during the period from January 2025 to May 2025. The ideal candidate will be highly motivated, professional, and have a strong interest in Chinese politics and economics, and industrial policy. The research intern supports the program's research agenda, engagement events, and promotional activities. The hired candidates will be paid hourly, commensurate with experience ($18.00/hour for current undergraduate hires, $19.00/hour for hires with a bachelor's degree, and $20.00/hour for hires with a master's degree). ESSENTIAL DUTIES AND RESPONSIBILITIES: Essential functions may include, but are not limited to the following: * Collecting data on industrial policy, including firm-level data and government budgets in China and other economies. * Conducting research on industrial policy-related literature and news in China and other economies. * Assisting in qualitative and quantitative research, analysis, and writing for publications. * Writing event summaries. * Providing logistical and administrative support for projects and events. * Drafting communications materials for program promotion, such as newsletters and social media content. * Performing a variety of other duties as assigned. KNOWLEDGE, EDUCATION, AND EXPERIENCE: * Must be at least a current undergraduate senior. Current graduate students preferred. Must have at least a 3.0 GPA (on a 4.0 scale) from an accredited U.S. institution or equivalent from a non-U.S. institution. * Must be eligible to work in the United States. * Must be able to be on-site. * Must be able to commit to 20 hours a week. * Must have strong research, analysis, and writing skills. * Must have familiarity with Excel as well as data collection, cleaning, and visualization experience. * Must have strong communication and interpersonal skills. * Must have the ability to work well independently and as part of a team. * Must have the ability to manage competing priorities and multiple projects under tight deadlines. * Must demonstrate academic or professional background in China's political economy, international trade and finance, macroeconomy or technology. * Data analysis and web scraping skills are a plus. * The Trustee Chair is seeking to hire at least one intern with strong Chinese-language skills, the second intern will ideally have strong skills in collecting and analyzing data. Lack of Chinese-language skills is not disqualifying for applicants with other relevant experience. PHYSICAL REQUIREMENTS AND WORK CONDITIONS: The physical demands are representative of those that must be met by an employee working in an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. The noise level in the work environment is usually moderate. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Equal Opportunity Employer. HOW TO APPLY: Review of applications will begin immediately and continue until the positions are filled. All applicants must submit the following documents. Applications will be reviewed on a rolling basis. Not submitting all the documents listed below will result in the application not being reviewed. Please apply at by no later than November 7th, 2026. 1. Resume. 2. Cover letter. 3. A writing sample. A complete writing sample related to either China's economy, politics, or policies OR topics relevant to industrial policy anywhere in the world (no more than 5 pages). 4. Academic transcript (official or unofficial). 5. List of 3 references (including each reference's name, title, affiliation, email address, and phone number).

Ansible Government Solutions, LLC (Ansible) is currently recruiting Data Analyst Jr. to support large programs focused on Innovation and Transformation within the Federal Health Sector. The Consultant will work with the Ansible team and federal healthcare clients to develop integrated program plans and execute on delivery of programs that span capability areas. The Consultant will provide business process reengineering expertise, healthcare operations analysis, and Lean Six Sigma methodologies to support transformation initiatives. Ansible is a Service-Disabled Veteran-Owned Small Business (SDVOSB) providing Federal customers with solutions in many arenas. Our customers face wide-ranging challenges in the fields of national security, health care, and information technology. To address these challenges, we employ intelligent and committed staff who take care of our customers' success as if it is their own. Responsibilities: Obtain and analyze data using computerized models and algorithms. Develop graphs and charts to communicate data insights and trends. Assist in presenting analytical findings to management and project teams. Support business initiatives by providing data-driven recommendations. Collaborate with senior analysts and cross-functional teams on data projects. Contribute to the preparation of reports and presentations using MS Excel, Power BI, and PowerPoint. Qualifications: Bachelor's degree (BA/BS) from an accredited college or university. Minimum of 3 years of experience in data analysis or a related field. Experience with data modeling, pattern recognition, and visualization. Proficiency in MS Word, Excel, Power BI, and PowerPoint. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Ability to obtain a US Security Public Trust Clearance. Ability to work without sponsorship in the US indefinitely. Desired Skills: Experience with healthcare data analysis. Familiarity with VHA systems and files (e.g., CDW, VistA, VSSC, RAMP, PTF, MCA, PCMM, NPCD, VETSNET). Experience supporting healthcare transformation analytics. Salary Band: $95 - $105k (depending on experience) All candidates must be able to: Sit, stand, walk, lift, squat, bend, twist, and reach above shoulders during the work shift Lift up to 50 lbs from floor to waist Lift up to 20 lbs Carry up to 40 lbs a reasonable distance Push/pull with 30 lbs of force All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Research and Innovation department works with business units across the Society to help make data-driven decisions, evaluate potential new offerings, help advance innovations to streamline processes, and translate insights into actionable strategies that support organizational goals. Position Summary: We are seeking a motivated and detail-oriented Business Analyst Intern to join our team. This internship offers hands-on experience in data analysis, business process improvement, and strategic decision-making. The ideal candidate will support the Research team in gathering data, analyzing trends, and presenting actionable insights. Key Responsibilities: * Assist in collecting, cleaning, and analyzing data from various sources. * Support the development of reports and presentations for internal use. * Participate in stakeholder meetings to understand business needs and translate them into analytical tasks. * Help identify existing efforts that could be improved by leveraging data, automation, and other innovative methods. * Collaborate with cross-functional teams across the Society. Education Requirements: The ideal candidate will be a rising college senior or pursuing a Masters/PhD Business, Data Analytics, Information Systems, or a related field. Required Qualifications: * Currently pursuing a major Business, Data Analytics, Information Systems, or a related field. Pay Transparency: This role is based in our Washington, D.C. office. The following are the intended hourly rates for this part time/nonexempt role: Rising Junior-$24.00; Rising Senior-$25.00; Current Grad/PhD Student- $29.00. Any actual offer of employment, reflecting the total compensation package and benefits, will be made in the sole discretion of ACS. ACS reserves the right to amend or modify its employment benefits and compensation structure at any time. * This position will be primarily based in the Washington D.C. (or applicable) office. ACS employees work a hybrid work schedule, consisting of working onsite, two days per week. Schedule flexibility may be required for this role to support in-office activities. While always welcome to work in the office, employees may work the other three days of the week from a location of their choice. #LI-DNI

Grassroots Analytics' mission is to provide innovative data solutions to amplify forward-thinking voices, causes, and people. Grassroots Analytics ("GA") maintains a detailed database on more than 20 million active American donors, including data on net worth, ideological preferences, political donation history, non-profit donation history, demographics, and contact information. Grassroots Analytics is seeking a Data Intern for the Spring semester of 2026. Job Description: We're looking for a Data Intern to bridge the gap between data science and data engineering. This role combines model development and evaluation with the design of scalable, observable data systems that make analytics reliable, transparent, and actionable. You'll work across the data stack to ensure our analytical models and pipelines are accurate, monitored, and well-documented. Responsibilities: Build, audit, and optimize predictive and analytical models for accuracy, stability, and business impact. Design and maintain data pipelines that power analytics, reporting, and modeling workflows. Implement monitoring, observability, and documentation tools to improve data and model reliability. Partner with data scientists to productionize models and ensure reproducibility and performance. Collaborate with analytics, engineering, and product teams to improve the overall data user experience. Develop standards and frameworks for model governance, versioning, and auditability. Contribute to continuous improvement of data quality, metadata, and system scalability. Qualifications: Strong foundation in data science (e.g., model building, evaluation, and statistical analysis). Experience with data engineering tools and workflows (SQL, Airflow, dbt, BigQuery, etc.). Proficiency in Python or similar languages for modeling and automation. Familiarity with monitoring, observability, and documentation practices for data systems. Ability to translate complex analytical processes into reliable, maintainable infrastructure. This internship pays $27/hr plus a relocation stipend for those coming from outside the DMV area. The program will run January 26, 2026-April 17, 2026, with the opportunity to continue into the summer based on performance. This is a full-time, in-office position based in our office in Chinatown at 806 7th St NW, Washington, D.C. 20001. Grassroots Analytics is an equal opportunity employer, committed to providing a diverse, inclusive, and welcoming environment where everyone is empowered to do their best work. Grassroots Analytics does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.

A healthcare services provider is seeking a Data Scientist to transform complex data into advanced analytic solutions. This role involves developing machine learning models, designing AI solutions, and collaborating with various business partners. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and experience with SQL, Python, and machine learning frameworks. This position allows for remote work, with occasional travel to the company's offices for training or meetings. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. 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 $77,600.00 to $176,000.00 (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. Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 4+ years of experience with network development or targeting 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Knowledge of EUCOM AOR Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: 4+ years of experience as a strategic all-source intelligence analyst 3+ years of experience with targeting or network development analysis and US government all-source analysis production within the IC or Combatant Command environments 3+ years of experience using high-side tools, including Analyst Notebook, ArcGIS, Joint Enterprise Modeling Analytic (JEMA), DataXplorer, and VOLTRON Experience working with SIGINT and HUMINT Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel VBA Knowledge of ICD 203 TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. 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 $77,600.00 to $176,000.00 (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

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

Job ID 2025-12588 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Scientist to support our Intelligence Community client. 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. 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. Responsibilities Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations. Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results Understand and analyze complex and organization-specific datasets Define and develop techniques to integrate, consolidate, and structure data for analytical use Support the maturation of data quality Support the transformation of businesses process through automation Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools Collaborate with the team internal and external timely and proactively Provide regular detailed reporting to management and customers Develop briefing packages to communicate complex ideas to non-technical customers Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers Qualifications Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 5 years in data analytics or related Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. Excellent communication skills, written and oral Proven ability to work with business customers and technical teams Highly organized and able to manage multiple projects simultaneously Excellent customer relationship management skills Innovative problem-solving skills and ability to thrive in a fast-paced environment Ability to work on client site in either Reston, VA or Washington, D.C Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade. Desired: Masters degree or higher Advanced knowledge of SQL or Python Experience using python libraries to build regression models and decision trees Experience with version control software like Git Management consulting experience desired Experience working with unstructured text and natural language processing Experience with deploying and maintaining models in production Previous experience with people analytics #LI-SH1 Target Salary Range: $150,000-$200,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances 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.