Scientist jobs in Silver Spring, MD - 1,204 jobs

HANSOH BIO A U.S.-based research & development subsidiary of Hansoh Pharma, Hansoh Bio is a biotech devoted to discovering and developing breakthrough therapies that conquer serious diseases and disorders for patients around the world. Hansoh Pharma is a leading biopharmaceutical company in Asia. Founded in 1995, we are committed to discovering and developing life-changing medicines to help patients. Our rapidly growing workforce of 9,000+ employees, and our fully integrated research and development, manufacturing and commercial capabilities have propelled us into leadership positions across a broad range of therapeutic areas, including CNS, oncology, infectious disease, and metabolic disorders. With 1,400 professionals across multiple R&D functions, we rank 2nd in innovation among all Chinese biotech and pharmaceutical companies, based on new molecular entities developed for clinical development. Since an IPO on Hong Kong stock exchange in June 2019, we have raised $1.6B from global top-tier institutional investors; with a current equity value of approximately $27B, Hansoh is the 2nd largest biopharmaceutical companies in China and 6th largest in Asia by market capitalization. For more information, please visit **************** BIOTHERAPEUTICS - MARYLAND R&D CENTER At Hansoh, we never rest in the quest of bringing truly life-changing treatments to patients. We are currently seeking a motivated scientist to join our Biotherapeutics-ADC Biology team in Rockville, Maryland. The position offers an exciting opportunity to engage in target discovery, validation, and preclinical candidate development of high impact projects. THE POSITION -SCIENTIST OF BIOTHERAPEUTICS We are seeking a passionate, science-driven candidate to lead or contribute to antibody-based therapeutic projects at Hansoh Bio. The Maryland R&D site focuses on the discovery of novel drug candidates, including monoclonal antibodies, antibody-drug conjugates (ADCs), and bispecific antibodies for the treatment of cancer, renal, cardiovascular, and immune system diseases. The candidate is expected to explore and introduce new technological tools, methodologies, and knowledge to achieve project goals and expand our research capabilities. The successful candidate will collaborate directly with corporate partners, cross-functional teams, and project teams to support our preclinical programs. RESPONSIBILITIES Lead or support oncology, immuno-oncology and/or immunology projects. Design, conduct, and analyze experiments on antibody-drug conjugates (ADCs). Perform in vitro functional and binding assays. Culture, engineer cell lines, and prepare reagents. Troubleshoot experiments with technical discretion. Review data, prepare reports, and present findings to managers and teams. Collaborate with cross-functional teams to execute tasks. Maintain accurate documentation in electronic lab notebooks. QUALIFICATIONS Ph.D. in cancer biology or related field. Demonstrated innovation in oncology, immuno-oncology, or autoimmune disease research. Skilled in in vitro techniques, including culture, multicolor FACS, ELISA and/or in vitro killing assays. Experience with mouse tumor models. Background in pre-clinical assay development preferred. Excellent oral and written communication skills. Ability to deliver clear, precise reports in internal and external meetings. Strong record of impactful publications and/or patent contributions.

Job Category: Development Apply now Posted : November 5, 2025 Full-Time On-site Headquarters 9704 Medical Center Dr Rockville, MD 20850, USA MacroGenics is a leader in the discovery and development of innovative medicines that utilize our next generation antibody-based technologies. Our team of350+ dedicated individuals is advancing a pipeline of product candidates to treat patients with cancer. Our products and platforms have attracted multiple partnerships with leading pharmaceuticaland biotechnologycompanies around the globe. The Company considers its employees to be its most valuable asset and we are committed to providing opportunities for individuals to learn and grow as a means to further their professional development. MacroGenics' corporate culture promotes an atmosphere of innovation, open communication and teamwork where employees can see firsthand how they contribute to the success of the organization. Summary of Position The Principal Scientist is a technical and strategic leader responsible for method development, qualification, transfer, and lifecycle management of residual impurity assays for biopharmaceutical products including monoclonal antibodies (mAbs), bispecifics, and antibody-drug conjugates (ADCs). This individual thrives in a cross-functional, fast-paced, and collaborative environment, applying strong troubleshooting ability, scientific rigor, and a results-driven mindset to support programs from early development through commercialization. The role demands high accountability, proactive planning, and timely execution of deliverables. The Principal Scientist will supervise and mentor team members while serving as a subject matter expert in residual impurity testing across Biopharmaceutical Development (BPD) and CMC teams. Responsibilities and Job Duties: Lead the development of fit-for-purpose and robust residual impurity assays (e.g., HCP, DNA, Protein, Enzyme, Surfactant etc.) to support biologic product development and release. Provide technical leadership and hands‑on troubleshooting for analytical methods and instrumentation to resolve issues efficiently and maintain method robustness. Own and drive method lifecycle activities including development, qualification, transfer to QC, and support method validation aligned with ICH and regulatory expectations. Ensure on‑time delivery of analytical method development and testing support for process development, process characterization, analytical comparability, and CQA assessment efforts. Manage project timelines for impurity analysis and proactively communicate risks, progress, and mitigation strategies to stakeholders. Collaborate with CMC teams and Regulatory Affairs to develop residual impurity control strategies, specifications, and regulatory submissions. Manage vendor activities and oversee outsourced work including critical reagents, HCP coverage analysis, and CRO support. Lead implementation of new technologies and data‑driven approaches to improve throughput and sensitivity of impurity assays. Author and/or review SOPs, technical protocols and reports, and regulatory filings. Foster a high‑performance culture by coaching and mentoring scientists, promoting scientific excellence, accountability, and ownership. Present findings and strategies at internal cross‑functional meetings, technical forums, and external conferences. Participate in industry consortia on relevant topics and align internal strategies with industry practice. Qualifications Education & Experience Ph.D. in Biochemistry, Analytical Chemistry, Chemical Engineering, Pharmaceutical Sciences or related discipline with 6+ years of related industry experience, including 5+ years on residual impurity method development; or Master's degree with 12+ years of related industry experience; or Bachelor's degree with 14+ years of related industry experience 2+ years of people management experience with demonstrated ability to coach, develop and motivate high‑performing teams Prior experience in preparing analytical sections of IND, BLA and regulatory responses. Knowledge, Skills and Abilities Deep knowledge of residual impurity assay development (e.g. ELISA for residual protein, qPCR for DNA) Excellent troubleshooting and problem‑solving skills, with a systematic, data‑driven approach to resolving technical challenges Strong sense of accountability and ownership; consistently delivers to project goals and regulatory milestones Ability to manage multiple projects and priorities in a dynamic, cross‑functional environment Skilled in stakeholder management, with clear, proactive, and collaborative communication style Strong technical writing skills and attention to detail in documentation and data review Experience mentoring and developing scientific staff; promotes open communication and teamwork Solid understanding of CMC strategy, regulatory expectations, and phase appropriate analytical requirements Strong track record of independent troubleshooting, root cause investigation, and method remediation for impurity assays Proven success in delivering high‑quality results on time, even under changing priorities and compressed timelines. Demonstrated leadership and influence in cross‑functional matrix environments Preferred Qualifications Familiarity with potency assays, physiochemical assays and other characterization assays Knowledge in novel techniques on detecting and analyzing residual impurities Strong publication record and external scientific presence Experience in fostering partnership with clients through CDMO service Supervisory Responsibilities Yes. This role may supervise Associate Scientist and/or Scientist Additional Information The annual rate of pay for this position ranges from $129,500 - $197,500. For non‑exempt roles, and according to applicable regulations, there may be the possibility for overtime pay. This role is eligible for the Company's discretionary bonus and discretionary equity incentives. Eligible employees may participate in the Company's benefits programs, including medical / dental / vision / prescription coverage, employee wellness resources, 401(k) plan with employer match, access to an Employee Stock Purchase Plan, (ESPP), paid time off & paid parental leave benefits, and disability benefits. The annual pay rate range is described in good faith, and the Company believes is the range of possible compensation for this role at the time of this posting depending on the candidate's experience, qualifications, geographic location, and other factors permitted by law. The Company may ultimately pay more or less than the posted range, and this range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Statement MacroGenics is proud to be an equal opportunity employer. Employment selection and related decisions are made without regard to race, color, national origin, sex, gender identity, sexual orientation, religion, age, disability, protected veteran status, or any other characteristic protected by federal, state or local law. We are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please email ******************** or call ************** and/or 711 for TTD/TTY service. Equal Opportunity Employer/Veterans/Disabled Equal Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. We do not accept non‑solicited resumes or candidate submittals from search/recruiting agencies. #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

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

Manufactures cell and gene therapies for phase I and II clinical trials; (2) processes hematopoietic stem cell grafts for transplantation; (3) develops new cell therapies; (4) performs in-process and lot release testing of cell and gene therapies; (5) develops new assays to test cell and gene therapies; and (6) prepares chemistry, manufacturing, and controls (CMC) documents for investigational new drugs (IND) and summary data for annual reports to the Food and Drug Administration (FDA). ROLES / RESPONSIBILITES Build and optimize a robust cGMP compliant platform for generation, expansion and cryopreservation of autologous induced pluripotent stem cells (iPSCs) from peripheral blood derived CD34+ cells. Differentiate iPSCs to retinal pigment epithelial cells (RPE) to develop an iRPE patch for a phase I clinical trial to treat "dry" age related macular degeneration. Update and validate SOPs related to CD34 expansion, iPSC culturing, and RPE differentiation Manage a day to day operation of GMP facility Maintain iPSC colonies and freeze their early passages. GMP and aseptic culturing of iPCSs and differentiation of patient iPSCs into Retinal pigment epithelium (RPE) and maintenance of those RPE cultures. This work will include: Preparing media, supplements, and reagents needed cell culture work. Maintaining the cell culture room biosafety level 2 standards and maintaining aseptic conditions in cell culture flow hoods, incubators, and prepare sterile tools needed for work with cell cultures. The cell culture maintenance work will require working for short periods of times on the weekends and some holidays. Work to characterize the iPSC colonies for their pluripotency. This will require: Immunostaining of iPSCs, preparing RNA and cDNA from iPSCs, and Performing qRT-PCR assays. Additionally they will perform three germ layer assay based functional characterization of iPSCs. This work will also include any cell types that act as control for his iPSC work. Prepare regulatory documents for FDA and technology transfer Coordinate transfer of lab-technology to Good Manufacturing Practice (GMP suite) Develop Standard Operating Procedures (SOPs) with the Contract Research Organization (CRO) in relation to the cell therapy project. DESIRED BACKGROUND · Prior cell culture experience is required · Prior experience working in a cGMP environment is required

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

Principal Associate, Data Scientist - US Card Upmarket Acquisition. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate closely with cross‑functional partner teams including data engineers, platforms engineers, product managers, and credit and business analysts to deliver solutions from ideation to implementation. We own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are a team of creative problem solvers, continually challenging the status quo to keep our models dynamic, adaptive, robust, and smarter. Role Description In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights from large volumes of numeric and textual data. Build machine learning models from idea to implementation, including designing and executing experiments, developing and iterating on models, and deploying production‑ready solutions that impact business outcomes. Translate the complexity of your work into tangible business goals using strong interpersonal communication. The Ideal Candidate is Statistically-minded: has built, validated, and backtested models; familiar with confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning. Technical: comfortable with open‑source languages and experienced in developing and deploying production‑ready data science solutions using open‑source tools and cloud platforms. Customer first: focused on making the right decisions for customers and translating analysis into value. A data guru: comfortable retrieving, combining, and analyzing data from diverse sources and structures; understands that data understanding is key to great data science. Basic Qualifications Currently has, or is in the process of obtaining, a Bachelor's Degree plus 5 years of experience in data analytics, or a Master's Degree plus 3 years of experience, or a PhD plus 1 year of experience, with the degree expected on or before the start date. At least 1 year of experience in open source programming languages for large‑scale data analysis. At least 1 year of experience with machine learning. At least 1 year of experience with relational databases. Preferred Qualifications Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field. At least 1 year of experience working with AWS. At least 3 years of experience in Python, Scala, or R for large‑scale data analysis. At least 3 years of experience with machine learning. At least 3 years of experience with SQL. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries are for candidates hired to work within the specified locations and refer to the amount Capital One is willing to pay at the time of posting. Salaries for part‑time roles will be prorated based on hours worked. Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science; McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science. Candidates hired to work in other locations will be subject to the pay range for that location and the offer letter will reflect the actual amount. This role is eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on full/part‑time status, exempt/non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) and adheres to applicable laws regarding criminal background inquiries. If you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. Capital One does not provide, endorse, or guarantee third‑party products or services and is not liable for information available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines are for Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp., respectively. #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 environmental organization is seeking a Chief Scientist in Silver Spring, MD. The ideal candidate will have over 15 years of experience in earth sciences, specializing in climate and weather modeling. This role involves enhancing NOAA's forecasting accuracy and leading research initiatives guided by open-source principles. Strong operational capabilities with earth systems data and a relevant advanced degree are required. Flexibility for telework is available, complementing a competitive compensation and benefits package. #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

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

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

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies. Responsibilities: • Serve as PI or co-PI on government-funded R&D programs. • Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization. • Publish, present, and contribute thought leadership to the AI community. • Mentor research staff and guide proposal development. Requirements: • PhD with 7+ years of research experience. • Demonstrated leadership in ML, vision, or scientific computing. • Record of funding, publications, and technical impact. • U.S. Citizen or Permanent Resident. Preferred: • Experience with multimodal learning, uncertainty quantification, or causal inference. Why Novateur? Join a team that values creativity and initiative. At Novateur, you'll lead transformative projects that redefine what's possible in intelligent systems. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

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 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 biopharmaceutical company seeks a Principal Scientist to lead the development of residual impurity assays for biologic products. This role demands strong technical leadership, project management, and a collaborative spirit in a fast-paced environment. Candidates should hold a Ph.D. with over 6 years of relevant experience. The role offers significant support in both professional growth and performance-driven compensation. #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

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