Scientist jobs in Centreville, VA - 1,016 jobs

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

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

ERT is seeking a Chief Scientist with experience in meteorology or atmospheric sciences, or other earth sciences to support tasks at National Oceanic and Atmospheric Administration's (NOAA) Earth Prediction Innovation Center (EPIC). The primary objective will be to enhance the research-to-operations-to-research pipeline for the weather forecasting community with the goal of improving the overall accuracy and reliability of US National Weather Service weather models. All research and development will be guided by the NOAA open‑source science principles. Required Skills 15+ years of experience in position of increasing responsibility and leadership in the field of climate or earth systems science, weather modeling and forecasting, or a closely related discipline. Facility with the computational and technical operational components of handling and using earth systems data for large-scale forecasting. Must be able to pass a background investigation to obtain a security badge to enter the applicable government facility. Education MS degree in atmospheric science, earth science or closely related discipline. PhD preferred. Location This position supports work at NOAA's Silver Spring, MD facility with some telework permitted. Compensation The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills. Benefits All full‑time employees are eligible to participate in our flexible benefits package, which includes: Medical, Rx, Dental, and Vision Insurance 401(k) retirement plan with company‑matching 11 Paid Federal Government Holidays Paid Time Off (PTO) Basic Life & Supplemental Life Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts Short‑Term & Long‑Term Disability Employee assistance program (EAP) Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Professional Membership Reimbursement Employee Referral Program Competitive compensation plan Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance Publication and Conference Presentation Awards with bonuses ERT is a VEVRAA Federal Contractor and Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. #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

Principal Associate, Data Scientist - People Tech Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally personalizing offers using statistical modeling and the relational database, evolving into a Fortune 200 company focused on data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption at a new scale, using modern computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description A Call to Innovators! Capital One\'s People Technology Innovation Lab is hiring a Data Scientist to translate raw data into game-changing insights and products. We don\'t just use data; we make it a strategic asset. You'll tackle complex, high-impact problems using technologies like Generative AI and Knowledge Graphs to transform the employee experience. You\'ll move beyond incremental improvements and help deliver disruptive, innovative use cases that shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal insights in massive datasets, join us as a core driver of innovation culture. 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 through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals through strong interpersonal skills The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, applying them where appropriate. Creative. You thrive on solving big, undefined problems and are not afraid to share new ideas. Statistically-minded. You\'ve built and validated models, interpreted evaluation metrics, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master\'s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) 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' experience in Python, Scala At least 3 years' experience with machine learning At least 3 years' experience with SQL At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models Experience working with vector databases to index text using chunking and embedding models 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 provided for candidates hired to work within these locations and may be reflected in the offer letter. Salaries for part-time roles will be prorated based on hours. Locations and ranges: Plano, TX: $144,200 - $164,600 McLean, VA: $158,600 - $181,000 Richmond, VA: $144,200 - $164,600 Riverwoods, IL: $144,200 - $164,600 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary offered will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full- or part-time status, exempt or 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) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations. If you require accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed reasonable accommodations. Careers inquiries: for technical support or questions about Capital One\'s recruiting process, please email **********************. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines correspond to the respective Capital One entity. #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.

ID 2025-3757 Category Associate Who We Are Cornerstone Research provides economic and financial consulting and expert testimony in all phases of complex disputes and regulatory investigations. The firm works with an extensive network of prominent academics and industry practitioners to identify the best-qualified expert for each assignment. With a reputation for high quality and effectiveness, Cornerstone Research has consistently delivered rigorous, state-of-the-art analysis since 1989. The firm has more than 1,000 professionals in nine offices across the United States, UK, and EU. Cornerstone Research is involved in a broad variety of high-profile projects. Current exemplary matters include claims of anticompetitive conduct, potential mergers and the impact on market competition, the impact of intellectual property infringement, allegations of misleading marketing or false claims, allegations of manipulation of financial markets, evaluation of fair merger prices, securities litigation, claims in consumer finance, anticompetitive conduct in financial markets, labor market disputes, and corporate governance issues. We cover topics in a broad range of industries including consumer goods, life sciences, high technology, energy, telecommunications, industrial markets, banking, securities, fintech, private equity, insurance, and cryptocurrency. More detail on Cornerstone Research and what we do can be found on our website: ******************** Responsibilities Associates at Cornerstone Research Associates play a central role at Cornerstone Research in developing project strategy, conducting and guiding research, directing analysis, understanding and interpreting data, and proposing effective approaches to the problems faced by their teams. Associates work closely with senior staff, clients, and experts to define objectives, guide research efforts, and mentor junior staff. Associates apply theoretical and empirical research skills gained through their graduate-level training to conduct innovative and rigorous analysis to interesting real-world problems. The outcomes of our cases regularly have a direct impact on public policy and corporate strategy. Cornerstone Research provides an interesting and rewarding work environment. Those joining our firm enjoy long-term career opportunities supported by our investments in their professional development. Career development includes staying attuned to the latest academic research, advancing one's research skills, enhancing communication skills, and building managerial abilities. The firm supports the development of those interested in becoming testifying experts, and of those not choosing that path-either approach provides opportunities for career advancement. Cornerstone Research offers a market-leading salary and benefits package with a compensation structure that escalates along the career path. Qualifications Candidate Profile We seek candidates who have pursued doctoral studies in economics, finance, accounting, or marketing, and who have graduated or will be graduating in the coming year. Candidates must have the ability to apply academic research to real-world issues. We are currently hiring in our Boston, Brussels, Chicago, London, Los Angeles, New York, Bay Area (San Francisco and Silicon Valley), and Washington, D.C., offices. Cornerstone Research will provide immigration assistance to eligible foreign nationals in accordance with the firm's immigration policy and applicable law. Cornerstone Research will provide visa support to full-time candidates. If you are applying from within the US, candidates should have at least 12 months remaining of work authorization. Interested Candidates Candidates should submit a cover letter (including location preferences), resume, and job market paper through our careers website. Please also email three letters of recommendation to: Associate Talent Acquisition Manager Email: Cornerstone Research offers a market-leading compensation and benefits package. The base salary for the Associate role with a relevant Ph.D. is $245,000 in the United States. In addition to the base salary, new Associates will be eligible for a signing bonus depending on skills, education, and experience. Associates are eligible for discretionary bonuses based on performance, firm contributions, and other factors. Previous relevant work experience will be taken into consideration in determining compensation. Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website. Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law. Avenue Louise 54, 1000 Brussels, Belgium Connect With Us! Not ready to apply? Connect with us for general consideration.

PRIMARY PURPOSE The Special Activities and Intelligence (SAI) Program in our Operational Warfighting (OPS) Division at CNA is hiring for a part-time Research Scientist. Staff at this level will typically be leading smaller and/or less complex projects, playing a critical role as a team member on projects with specific technical/scientific expertise. For this role we are looking for people that have extensive experience in AI and ML. The SAI program conducts analyses that help decision-makers integrate information, intelligence, and exquisite effects into fleet operations. CNA has played an active role in the reconstruction of real-world incidents, assessment of the employment of operational teams, and the extraction of operational value from intelligence feeds. We also support efforts to integrate artificial intelligence and autonomous capabilities, crafting policies and procedures to guide their development and bridging the technology gap between defense and industry. CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches. We are looking for creative and innovative individuals to help carry out our mission. JOB DESCRIPTION AND/OR DUTIES 1. Routinely produces analysis on structured and unstructured problems that meets CNA's quality standards with limited direction and general supervision. Demonstrates ability to develop and apply creative and innovative analytic solutions to complex problems with assistance/support from more senior staff. Shows the ability to synthesize analytic results into a broader context. Can lead complex analytic projects with supervision. Begins to make connections and synthesize ideas across multiple, related studies. 2. Develops and maintains deep, specific institutional knowledge and expertise of primary clients/sponsors; their culture, organization, and issues. Uses that knowledge to support training & mentoring of new staff, to support on-going work, and to support development and shaping of new work for existing clients/ sponsors. 3. Balances responsiveness to guidance with independent action. Contributes productively and harmoniously to the work of others; treats everyone respectfully, professionally and fairly. Independently identifies opportunities for collaboration within team, division, and operating unit. Supports supervisor's initiatives and helps make vision a reality. Recognizes and acknowledges contributions from subordinates. 4. Supports business development efforts and/or marketing activities by interacting with CNA managers and current clients/sponsors on securing follow on work (e.g., small grants, or above core projects), expanding or developing new ideas for future projects, and occasionally working with potential clients/sponsors on developing new project ideas. Occasionally serves as internal reviewer of technical proposals. 5. Interacts regularly and independently with clients/sponsors and related parties. Typical interactions are at the "peer equivalent" level, but some level of interaction at senior level. Can effectively represent CNA as an organization. 6. Influences decisions by sponsors/ clients; provide sponsors/clients with implementable recommendations. Occasionally supports efforts to enhance CNA's reputation via publishing and outreach activities. 7. Demonstrates strong and effective communications skills, to include ability to summarize and synthesize larger pieces of work into effective executive summaries/executive briefings. Can effectively present work to more senior and larger audiences. Effectively communicates with & engages colleagues at all levels of the organization. 8. Works under limited direction and general supervision from division management. Can lead projects of low to medium size and/or complexity, as well as significant tasks on large or more complex projects. Effectively manages all aspects of assigned projects, to include delivery of high-quality analytic products on-time, and on-budget. 9. Plays a supporting role in the mentoring and training of new staff individually or as a member of a project team. Regularly demonstrates initiative in pursuing improvements in the quality of our projects and analytic products. Participates in corporate initiatives when asked to do so, and makes contributions to initiatives focused on making CNA a better place to work. 10. Performs other duties as assigned. JOB REQUIREMENTS 1. Education: Minimum Master's degree in a relevant field (STEM), PhD preferred. 2. Experience: Typical minimum requirements 5+ years of experience in research and analysis. Experience with machine learning and artificial intelligence concepts and applications preferred. Experience with Navy and AI-related organizations and processes preferred. 3. Skills: Ability to work on progressively more difficult projects/analyses, including directing portions of large research projects or small to medium projects under general supervision Ability to operate independently and proactively in the execution of assignments; Ability to work in a multi-disciplinary environment Strong critical thinking skills Knowledge of research techniques Strong planning and organizational skills Excellent interpersonal skills Strong and effective oral and written communication skills Ability to interact directly and effectively with clients and influence their decisions 4. Other: Must have an active Top-Secret Security Clearance. SCI eligibility is highly desired. Required Documents Please upload the following documents with your application Resume Writing Sample CNA follows a broad band compensation framework that considers a range of criteria in making compensation decisions including but not limited to: skill sets; experience; degree, certifications, other business and organizational needs. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is around $73.00 - $81.25 hourly. CNA offers competitive salaries and a comprehensive benefits package, which includes health, dental, and vision insurance, life and disability insurance, and a 403(b) retirement plan with employer matching. Additionally, we provide generous paid time off programs to promote a health work-life balance. Eligibility for these benefits varies based on employment classification. CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs. For more information about EEO protections, please view the EEO is the law posters here: "EEO is the Law" Poster", "EEO Poster Supplement". The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster. To be considered for hire, all individuals applying for positions with CNA are subject to a background investigation. For positions requiring access to classified information, U.S. citizenship is required. Individuals will also be subject to an additional government background investigation, and continued employment eligibility is contingent upon the ability to obtain and maintain an active security clearance.

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

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

08-Jan-2026 Data Scientist US Remote 10570BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Data Scientist at Deltek, you will leverage advanced analytics and machine learning techniques to solve complex business challenges. You will work with large, diverse datasets to uncover actionable insights, build predictive models, and communicate findings through compelling visualizations and reports. This role requires strong technical expertise, a collaborative mindset, and the ability to translate data-driven results into strategic recommendations for stakeholders. Key Responsibilities: Build predictive models using classification, regression, clustering, and time series techniques to address business needs. Perform exploratory data analysis to identify patterns, anomalies, and insights in large datasets from multiple sources. Create features from structured and unstructured data; apply feature engineering to enhance model performance. Develop and validate models using train/test splits, cross-validation, and appropriate evaluation metrics. Conduct A/B tests and analyze experiments to measure the impact of product changes or new features. Build dashboards and reports to communicate findings; create data visualizations that tell compelling stories. Collaborate with data engineers on data pipeline requirements to ensure data quality and availability. Document analyses thoroughly, including methodology, assumptions, and limitations to ensure reproducibility. Support production models by monitoring performance, investigating issues, and recommending improvements. Qualifications Required Qualifications: 3-5 years of hands-on data science experience, including model building and statistical analysis. Strong understanding of hypothesis testing, regression, classification, and clustering methods. Proficiency in Python (pandas, scikit-learn, matplotlib/seaborn) and SQL. Practical experience building and evaluating predictive models; familiarity with common algorithms. Ability to clean, transform, and prepare real-world data for analysis. Experience creating visualizations and dashboards using Tableau, Power BI, or Python libraries. Ability to present findings clearly to both technical and business audiences. Experience with Jupyter notebooks, Git, and collaborative data science workflows. Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. This position requires US Citizenship Preferred Qualifications: Master's degree in a relevant field. Exposure to NLP, recommendation systems, or optimization problems. Experience with cloud platforms such as AWS, Azure, or OCI. Why Join Deltek? At Deltek, you will be part of a forward-thinking team that values innovation, collaboration, and continuous learning. Our company culture fosters professional growth and encourages creative problem-solving. You will have the opportunity to work on impactful projects, leverage cutting-edge AI capabilities, and contribute to a dynamic environment where your expertise is valued. Deltek's commitment to flexibility, development opportunities, and advanced technology makes it an ideal place for data science professionals to thrive. Compensation Info The U.S. salary range for this position is $76,000.00-$134,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Job ID 2025-12588 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Scientist to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations. Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results Understand and analyze complex and organization-specific datasets Define and develop techniques to integrate, consolidate, and structure data for analytical use Support the maturation of data quality Support the transformation of businesses process through automation Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools Collaborate with the team internal and external timely and proactively Provide regular detailed reporting to management and customers Develop briefing packages to communicate complex ideas to non-technical customers Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers Qualifications Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 5 years in data analytics or related Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. Excellent communication skills, written and oral Proven ability to work with business customers and technical teams Highly organized and able to manage multiple projects simultaneously Excellent customer relationship management skills Innovative problem-solving skills and ability to thrive in a fast-paced environment Ability to work on client site in either Reston, VA or Washington, D.C Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade. Desired: Masters degree or higher Advanced knowledge of SQL or Python Experience using python libraries to build regression models and decision trees Experience with version control software like Git Management consulting experience desired Experience working with unstructured text and natural language processing Experience with deploying and maintaining models in production Previous experience with people analytics #LI-SH1 Target Salary Range: $150,000-$200,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

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 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

* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation* Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.* Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python* At least 3 years' experience with building machine learning models, with at least one year of experience with building GBM models* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

PRIMARY PURPOSE CNA is hiring for Research Scientists to join their Advanced Technology Assessments (ATA) division. Staff at this level will typically be leading smaller and/or less complex projects, playing a critical role as a team member on projects with specific technical/scientific expertise. As part of the Department of the Navy's Federally Funded Research and Development Center (FFRDC), CNA's Advanced Technology Assessments (ATA) division provides analysis that evaluates the military utility and efficacy of emerging defense technologies and prototypes, operational test and evaluation of DoD programs of record, and tactics development and resourcing decisions for existing naval aircraft. Analyses from ATA help the Navy make data-informed resourcing, training, and modernization decisions for new and existing defense technologies, with a focus on naval aircraft. Our research supports defense innovation programs to ensure operational effectiveness and lethality and to maintain the technological superiority of US military forces. ATA also contributes independent analyses to the testing of new aviation systems and the development of tactics to optimize the effectiveness of existing aircraft. ATA Scientists typically work collaboratively and independently with research staff from other research areas across the FFRDC, as well as with some sponsors and staffs. They have demonstrated research and analysis experience, and they require less direction and supervision than entry-level research staff. CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches. We are looking for creative and innovative individuals to help carry out our mission. JOB DESCRIPTION AND/OR DUTIES 1. Routinely produces analysis on structured and unstructured problems that meets CNA's quality standards with limited direction and general supervision. Demonstrates ability to develop and apply creative and innovative analytic solutions to complex problems with assistance/support from more senior staff. Shows the ability to synthesize analytic results into a broader context. Can lead complex analytic projects with supervision. Begins to make connections and synthesize ideas across multiple, related studies. 2. Develops and maintains deep, specific institutional knowledge and expertise of primary clients/sponsors; their culture, organization, and issues. Uses that knowledge to support training & mentoring of new staff, to support on-going work, and to support development and shaping of new work for existing clients/ sponsors. 3. Balances responsiveness to guidance with independent action. Contributes productively and harmoniously to the work of others; treats everyone respectfully, professionally and fairly. Independently identifies opportunities for collaboration within team, division, and operating unit. Supports supervisor's initiatives and helps make vision a reality. Recognizes and acknowledges contributions from subordinates. 4. Supports business development efforts and/or marketing activities by interacting with CNA managers and current clients/sponsors on securing follow on work (e.g., small grants, or above core projects), expanding or developing new ideas for future projects, and occasionally working with potential clients/sponsors on developing new project ideas. Occasionally serves as internal reviewer of technical proposals. 5. Interacts regularly and independently with clients/sponsors and related parties. Typical interactions are at the "peer equivalent" level, but some level of interaction at senior level. Can effectively represent CNA as an organization. 6. Influences decisions by sponsors/ clients; provide sponsors/clients with implementable recommendations. Occasionally supports efforts to enhance CNA's reputation via publishing and outreach activities. 7. Demonstrates strong and effective communications skills, to include ability to summarize and synthesize larger pieces of work into effective executive summaries/executive briefings. Can effectively present work to more senior and larger audiences. Effectively communicates with & engages colleagues at all levels of the organization. 8. Works under limited direction and general supervision from division management. Can lead projects of low to medium size and/or complexity, as well as significant tasks on large or more complex projects. Effectively manages all aspects of assigned projects, to include delivery of high-quality analytic products on-time, and on-budget. 9. Plays a supporting role in the mentoring and training of new staff individually or as a member of a project team. Regularly demonstrates initiative in pursuing improvements in the quality of our projects and analytic products. Participates in corporate initiatives when asked to do so, and makes contributions to initiatives focused on making CNA a better place to work. 10. Performs other duties as assigned. JOB REQUIREMENTS 1. Education: Minimum Master's degree in a relevant field or equivalent experience, PhD preferred. Background in STEM preferred. 2. Experience: Typical minimum requirements 5+ years of experience in research and analysis, preferably in the national defense arena (within the Department of the Navy or in the context of an FFRDC or a University Affiliated Research Center is a plus). 3. Skills: Experience using programming tools for analyzing large datasets, perform numerical computations, and create visualizations is preferred. Relevant tools include Python, R, and MATLAB. Ability to work on progressively more difficult projects/analyses, including directing portions of large research projects or small to medium projects under general supervision Ability to operate independently and proactively in the execution of assignments; Ability to work in a multi-disciplinary environment Strong critical thinking skills Knowledge of research techniques Strong planning and organizational skills Excellent interpersonal skills Strong and effective oral and written communication skills Ability to interact directly and effectively with clients and influence their decisions. 4. Working environment: The ATA Division conducts mostly classified work that must be done at CNA's facility in Arlington, VA. However, in those situations where analysts are working on unclassified parts of a classified study or on a study that is not classified, we offer a hybrid working environment that allows analysts to work off-site (typically from home). Some amount of travel is expected to meet with clients and sponsors outside of the greater Washington, DC area. 5. Other: Ability to obtain and maintain an Active Secret Security Clearance; TS/SCI Clearance eligibility is preferrable. Required Documents Resume or CV - Please upload your resume or CV Cover letter - Please upload a cover letter as part of your application that introduces yourself, summarizes your relevant skills and experiences, and describes why you would be a valuable asset to CNA's ATA Division. Writing Sample - Please upload a research paper or journal article that demonstrates your writing and research skills (draft copies are acceptable). Optional documents Transcripts (highly desired) - In a later stage of the hiring process, we may require your undergraduate and graduate transcripts. To have them considered as part of your application now, please upload them with your resume or CV. Letters of recommendations (highly desired) - In a later stage of the hiring process, we may require letters of recommendation or professional references for us to contact. CNA offers competitive salaries and a comprehensive benefits package, which includes health, dental, and vision insurance, life and disability insurance, and a 403(b) retirement plan with employer matching. Additionally, we provide generous paid time off programs to promote a health work-life balance. Eligibility for these benefits varies based on employment classification. CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs. For more information about EEO protections, please view the EEO is the law posters here: "EEO is the Law" Poster", "EEO Poster Supplement". The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster. To be considered for hire, all individuals applying for positions with CNA are subject to a background investigation. For positions requiring access to classified information, U.S. citizenship is required. Individuals will also be subject to an additional government background investigation, and continued employment eligibility is contingent upon the ability to obtain and maintain an active security clearance.

Job ID 2024-11991 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Scientistto support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists tobuild new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala); Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges; Query databases using SQL with structured data and perform statistical analysis; Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations. Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools; Think strategically about how to publish data visualizations and present analytic results; Support business decisions with ad hoc analysis; Qualifications 3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community. 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory. 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods. Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization. Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. Active TS/SCI with polygraph required. #LI-SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

* 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 the insights hidden within huge volumes of numeric and textual data* Build machine learning models, from idea to implementation. This includes designing and executing experiments, developing and iterating on machine learning models, and deploying production-ready solutions that directly impact business outcomes.* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing and deploying production-ready data science solutions using open-source tools and cloud computing platforms.* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.* A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.* Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date* At least 1 years' experience in open source programming languages for large scale data analysis* At least 1 years' experience with machine learning* At least 1 years' experience with relational databases* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python, Scala, or R for large scale data analysis* At least 3 years' experience with machine learning* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr