Data science internship jobs in Bethesda, MD - 1,040 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

Become a part of our caring community and help us put health first The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Growth Analytics & AI within Humana is dedicated to transforming members' journeys and Humana's services using technology and analytics. We are looking for a Data Scientist who will be responsible for using mathematics, statistics, NLP, Generative AI, and machine learning to analyze complex data and deliver insights. In this multi-disciplinary team, you will have the opportunity to work closely with various partners, including IT, sales, and strategy partners, to positively identify potential opportunities using high volumes of complex data. This is a unique opportunity for a motivated individual to influence Humana's vision around member growth and experiences. Our goal is to create an impactful AI solution to improve healthcare experience and outcomes for our members. As a Data Scientist, you will develop advanced analytic solutions, engaging with customers, and creating reusable statistical models and generative AI solutions. You will create reports, projections, models, and presentations to support business strategy and objectives, and communicate insights with leaders (technical and non-technical). Key Responsibilities Develop and validate machine learning and statistical analysis using Python, R, SQL, programming languages and packages Design Generative AI solutions using Python, generative models like LLMs (API and open-source models), and frameworks (i.e., LangChain, LangGraph, Google Agent Development Kit) Develop, maintain, and collect structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Interpret and communicate analytic results to analytical and non-analytical business partners Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities, especially generative AI Use your skills to make an impact Required Qualifications Bachelor's Degree with at least 4 years of technical experience OR a Master's Degree in Math, Computer Science, Analytics, Quantitative Social Sciences, or related analytical field and 1 year of experience Proficiency in SQL, Python, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, TensorFlow, or PyTorch Experience with large language models, transformers, and model providers Preferred Qualifications Ph.D. in a quantitative discipline, such as Computer Science, Data Science, Machine Learning, or related field Prior experience in healthcare Experience in Big Data environment, specifically PySpark and/or Databricks Experience in cloud computing, Azure, AWS, or GCP Clear and concise oral and written communication skills Ability to communicate statistical concepts to broad audiences Hands‑on experiences deploying Generative AI solutions Additional Information Visa sponsorship is not available for this position. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $97,900 - $133,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities. Application Deadline: 01-15-2026 About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our *************************************************************************** #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

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

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #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 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

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

ABOUT US Seamless Migration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) started in 2021 with the purpose of enabling businesses and organizations through automation. Our goal is to help organizations discover, implement, and maintain solutions which evolve and mature with their ever-changing business needs. We believe in applying agile methodologies in all aspects of our business practices and use these methods to ensure effective results for our clients. Location Bethesda, MD Clearance Active TS/SCI W/ CI Polygraph (existing clearance required to start) Overview Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess and implement new technologies and tools to enhance data capabilities Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality Lead complex data science projects from conception to implementation Develop real-time data processing solutions and data solutions at scale Integrate AI/ML with applications and systems Mentor junior data scientists and contribute to the overall growth of the data science team Communicate findings and recommendations to both technical and non-technical stakeholders Qualifications 7+ years of experience in data science or related field, plus 3+ additional years' experience in a complementary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other platforms Experience in designing and implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software Excellent problem-solving and communication skills Experience with data visualization tools (e.g., Tableau, PowerBI) Nice To Have Experience in the Intelligence Community (IC) Familiarity with drag-and-drop data tools and API integrations Benefits 100% paid Medical, Dental & Vision for Our Employee 6% 401K match (Vested Immediately) 29 Days' PTO Flexible Work Schedule Tuition/Certification Reimbursement Growth Opportunities w/in an Emerging Defense Company *All your information will be kept confidential according to EEO guidelines #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

Job Title: Senior Data Analyst (Public Health / Healthcare) Required Qualifications Extensive professional experience in data analysis (education level is flexible; experience is valued over formal degrees) Strong SQL expertise and experience working with complex datasets Proven ability to communicate data insights effectively to technical and non-technical audiences Experience translating business questions into analytical and technical requirements Background in public health and/or healthcare is required Demonstrated experience with reporting, data storytelling, and presenting insights Preferred Qualifications Experience working closely with engineering teams to define data requirements and solutions Familiarity with data best practices, governance, and analytics workflows Experience mentoring or guiding other analysts Team & Growth Join a collaborative data team currently consisting of two members, with plans to expand Opportunity to have meaningful impact in shaping analytics practices and supporting public health outcomes Interview Process Final panel interview Location: Columbia, MD (Hybrid, in-office once per week) Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status

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. *************

A leading financial services company seeks a Data Scientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered. #J-18808-Ljbffr

The Junior Data Analyst Intern will be responsible for developing, modifying and assisting in the support of several internal database systems and tools. Will troubleshoot existing systems and help develop recommendations, fixes and advancements. Work with experienced professionals who will guide processes. An opportunity to expand your skills and utilize your current knowledge. Job Requirements High School Diploma Enrolled in a current college program Strong IT and Database experience Ability to adapt book knowledge to real-world situations

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.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Junior Data Scientist to join our AI and Data Defense and Security team. The individual will develop advanced data analytics models, create data collection and process automation solutions, collect and analyze data to identify trends, develop visualizations in support of organizational and mission goals, and support decision-making for large-scale programs within the Department of Homeland Security (DHS). Responsibilities include, but are not limited to: Design and development of process improvement and automation applications using tools such as UiPath, Python, and R Design and development of models and dashboard solutions to provide analytic insights using tools such as Qlik and Tableau Leading and reviewing, data cleaning scripts using tools such as Python Identifying and creating additional data visualization capabilities, as needed Ensuring data governance and quality assurance standards are met Analyzing current process and identifying potential improvements Working with team members to summarize and report on business process improvements to include gaps in current processes and initiatives to improve processes for an organization, including solutions such as large language models and advanced statistics Summarizing and presenting information and reports to the team and make recommendations (both oral and written). What You Will Need: US Citizenship is required Bachelor's Degree is required What Would Be Nice To Have: Quality control experience including debugging and conducting Quality Assurance of new features and enhancements Experience with data architecture and warehousing Experience with Generative AI development Excellent organizational, prioritization, and time management abilities, with a keen eye for detail Experience developing new and re-designing existing processes to meet new and/or evolving business requirements Ability to provide guidance and direction for specific projects or sub-tasks Capability to manage multi-task projects What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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

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 technology services firm in Bethesda, MD, is seeking a Data Scientist to enhance national security through data analytics. Responsibilities include collaboration with data science and software teams to create impactful analytics platforms. Candidates should have a B.S. in a quantitative field, active TS/SCI clearance, and extensive experience in data science. This role involves managing big data across different domains and presenting insights to a diverse audience. Competitive compensation and growth opportunities are offered. #J-18808-Ljbffr