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Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit . Role Overview We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me's fraud strategy. If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you. Responsibilities • Partner with fraud leadership and fraud investigators to develop our fraud strategy, • Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates, • Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network, • Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams, • Recommend and build automated rules and models to support the detection and prevention of fraudulent activity, • Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO), • Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes, • Build strong relationships with key partners and the leadershipBasic Qualifications, • 2+ years of hands-on experience in fraud analytics or a high-tech mature startup, • 1+ years of experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras, • Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc., • Experience with Time Series Prediction models & one or more deep learning libraries, • Experience in developing, managing, and manipulating large, complex datasets, • Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities, • Ability to work independently and autonomously, as well as part of a team The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range$130,000—$188,000 USDMountain View, CA Pay Range$158,000—$212,000 USD ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

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

Job DescriptionDescription: Job Title: Senior Data and Wildfire Scientist Location: Remote Terms: Full Time 37.5 Hours Per Week Reports to: Director of Climate Finance About Us: The American Forest Foundation (AFF) unlocks the power of family forests as a climate solution while helping thousands of landowners care for their land and improve forest health. Through its Family Forest Carbon Program, AFF expands access to the voluntary carbon market for family forest owners from all walks of life while producing high quality forest carbon credits to help companies reach their net zero goals. The organization’s strategic direction seeks to enable family forests to capture and store one billion tonnes of carbon by 2050. We do not do this alone. AFF works across a broad coalition of conservation partners, corporations, and policymakers to equip family forest owners with financial and technical support to implement sustainable forest management practices on their lands and activate their forests as a critical tool in the fight against climate change. AFF is in a mode of complex problem solving and rapid iteration. All teams at AFF are working to discover solutions to the planet’s most pressing climate issues through developing and iterating viable and scalable models for impact. AFF is driven by values of our shared purpose, measurable and verifiable results, and learning for continuous improvement to tackle big conservation challenges. About the Role: The Senior Data and Wildfire Scientist will play a central role in strengthening the scientific and methodological foundations of AFF’s programs, particularly the Fire Adapted Forests avoided emissions methodology and the Family Forest Carbon Program (FFCP). This position leverages expertise in data informatics, advanced statistical analysis, and remote sensing to build digital monitoring, reporting, and verification (dMRV) systems that ensure scientific credibility, market alignment, and scalability. The Senior Scientist’s will also support AFF’s work to better quantify ecosystem co-benefits — including biodiversity, water, and resilience outcomes — alongside carbon benefits, providing holistic and credible accounting of conservation impact. This role is within the Innovation Team of AFF and sits at the intersection of exploratory, data-driving approaches that help AFF achieve interdisciplinary science, methodology, and applied program delivery, helping to ensure AFF remains a leader in family forest climate solutions. Requirements: Responsibilities: • Provide leadership for technical and science-based development of new carbon practices, project types, and quantification of co-benefits (including biodiversity, water, and community resilience) to expand AFF’s methodologies and program offerings., • Lead the development and implementation of risk quantification and mitigation strategies aligned with AFF’s climate strategy, with a particular focus on market mechanisms to address wildfire risk and avoided emissions., • Design and refine digital monitoring, reporting, and verification (dMRV) frameworks that integrate remote sensing, GIS, informatics, and field data across AFF’s practice areas., • Analyze large datasets using advanced statistical and geospatial tools to monitor carbon stocks, wildfire emissions avoidance, and ecological change over time., • Conduct high-level research on forest carbon dynamics, including sequestration, avoided emissions, and forest health, with direct application to FFCP methodologies., • Collaborate with AFF’s wildfire, carbon, and science teams to ensure scientific rigor in methodological applications and monitoring frameworks., • Support field teams in data collection protocols and provide QA/QC to ensure accuracy and consistency., • Prepare grant proposals, scientific papers, reports, and technical documentation to support funding and share outcomes., • Ph.D. or equivalent experience in forest ecology, data science, remote sensing, or related field., • Demonstrated expertise in:, • Remote sensing and GIS applications (satellite, aerial, LiDAR)., • Advanced statistical analysis, informatics, and/or machine learning., • Forest carbon dynamics, wildfire risk modeling, and ecological monitoring., • Proven track record in methodological development for carbon accounting or environmental monitoring., • Familiarity with carbon markets, ecosystem monitoring, and MRV/dMRV systems., • Strong record of scientific publication and ability to communicate results to technical and non-technical audiences., • Agility – Thriving in volatile, uncertain, complex and ambiguous environments by anticipating and responding to changes with swift, focused and flexible actions., • Collaborating with Others – Working together with others in a cooperative and supportive manner to achieve shared goals., • Ensuring Accountability – Holding yourself and others to high standards of accountability, creating an infrastructure and transparent organization culture that supports and measures personal and organizational responsibility and accountability., • Problem Solving – Identifying problems and the solutions to them. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. Job Function Competencies: • Scientific Rigor – Ability to design and implement methods that withstand peer and market scrutiny., • Data-Driven Analysis – Skilled at managing large, complex datasets and generating actionable insights., • Innovation – Applies creative approaches to methodological development and co-benefit quantification., • You have the unique and exciting opportunity to work with amazing colleagues, partners and landowners to help connect forest landowners with technical and financial assistance to better steward their land and achieve vital landscape-scale conservation impacts., • Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair., • We offer a flexible work environment that respects your life outside of work., • Salary is commensurate with experience., • AFF offers a comprehensive and competitive benefits package. Contact us to apply We know there are great candidates who may not check all these boxes, and we also know you might bring important skills that we haven’t considered. If that applies to you, don’t hesitate to apply and tell us about yourself. We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other basis protected by law.

Job Description Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI Security Clearance Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider. Minimum Qualifications • U.S. Citizen, • Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request., • 3-10 years of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL., • Advanced knowledge in data science, including the areas of data services, modeling, and analytics., • Advanced knowledge of geospatial data management including data type conversion; coordinate systems (latitude and longitude, UTM) and their conversions; and knowledge of projections and their properties / conversions., • Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer., • Proficient with ESRI Workflow Manager WMX and TAM., • Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing. Desired Qualifications • Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats., • Ability to clean / prune data to discard irrelevant information, • Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and/or opportunities, • Advanced knowledge of ESRI ArcGIS and ArcServer, • Knowledge of database systems and architecture (ORACLE, PostgresEQL, NoSEL (MongoDB), Microsoft Access), • Ability writing SQL (and NoSQL for senior candidates), • Understanding cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps, • Knowledge of symbolization rules (how symbols are used to portray features), • Knowledge of generalization rules, • Experience working with geospatial data in a multi-user enterprise environment (i.e., versioning data), • Knowledge of artificial intelligence, natural language processing, and machine-to-machine learning, • Knowledge of Metrics dissemination, • Ability to convert unstructured data into structured data, • Proficient in MS Outlook, Word, PowerPoint, Access, and Excel, • Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems Work Environment Work is within a team environment and will be conducted on site in Springfield, VA. *Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above. Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire. Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies. Job Posted by ApplicantPro

Job DescriptionSalary: $110,000-$150,000 per year InterAgency, Inc. is a Washington, D.C.-based small business with a big impact. We specialize in environmental and regulatory consulting for some of the regions most transformative infrastructure projects; from billion-dollar stormwater tunnels and climate-resilient seawalls to electric transit systems and social equity programs ensuring clean water access. Our team leads the planning and implementation of complex public infrastructure initiatives with a strong commitment to environmental stewardship and sustainable land use Job Summary: InterAgency is seeking a mid-level environmental scientist to join our growing environmental practice. We are seeking a motivated and detail-oriented professional to work alongside senior environmental staff, collaborating on major resiliency and infrastructure projects in the DC metropolitan area. Projects will range from preliminary planning to construction and include the following: • Subsurface infrastructure to mitigate flooding impacts, • Large diameter tunnels to remediate combined sewer overflows (CSOs), • Redesign of existing sea walls to address sea level rise, • Bridge construction over navigable waterways, • Stream restoration Key Responsibilities: • Prepare federal, state and local permit applications and manage the review and processing of permits, • Prepare NEPA documents, • Advise clients on environmental permitting and regulatory requirements through preliminary desktop assessments and detailed permit matrices, • Collaborate with project team leader to ensure data accuracy, completeness and that clients expectations are met for scope, budget, schedule and quality, • Support development of technical proposals, • Follow safety protocols and guidelines during fieldwork, • Author Environmental Management Plans, • Administer ESC, SWM, • Mentor junior environmental team members Minimum Qualifications: • Bachelors degree in environmental science or related field., • 7+ years of environmental consulting experience, • Proven knowledge of Clean Water Act and related regulations, including 7 of Endangered Species Act and 106 of National Historic Preservation Act (see preferred qualifications), • Demonstrated experience managing environmental permitting and regulatory compliance for large-scale infrastructure projects, • Excellent communication skills and ability to work as part of a team, • Ability to manage multiple projects under tight deadlines Preferred Qualifications: Candidates with one or more of the following certifications or formal training credentials will be given strong consideration: Clean Water Act and Related Regulations: • NPDES (National Pollutant Discharge Elimination System) compliance certification, • Certified Stormwater Inspector (CSI), • Certified Professional in Erosion and Sediment Control (CPESC), • Certified Professional in Stormwater Quality (CPSWQ), • Spill Prevention, Control, and Countermeasure (SPCC) training, • Federal- or state-recognized Clean Water Act, Endangered Species Act and/or National Historic Preservation Act compliance training NEPA and Environmental Planning: • Certified Environmental Planner, • NEPA Certificate from a recognized provider (e.g., Archer Institute, Shipley Group, UC Davis, or accredited university programs), • NEPA training through federal agencies such as FHWA, DOE, or DOT Employment Conditions: • Type: Full-time, exempt employment., • Schedule: Hybrid remote, with typically 3 days in-office., • Company Business Hours: 8:00 am to 5:00 PM (EST)., • Flexible work location among 3 offices in DC Metro Area: Bethesda, MD, Tysons Corner, VA, and DC Navy Yard area., • Must be able to reliably commute to client locations within the DC Metro area., • Able to walk long distances and carry equipment. Light lifting to 50 lbs. Compensation: • Annual salary commensurate with experience., • Salary Range: $110,000 - $150,000/year, • Full medical benefits package., • 401(k) retirement plan with Safe Harbor employer match, • Paid holiday leave: 11 Federal holidays, • Paid Time Off: 15 days / year, • Flexible spending accounts, • Eligible for annual performance bonus and raise., • Company provided equipment and software, as needed. InterAgency employment practices are in accordance with the laws that prohibit discrimination against qualifiedindividuals on the basis of race, religion, color, gender, age, national origin, physical or mental disability,genetic information, veterans status, marital status, gender identity and expression, sexual orientation,or any other status protected by applicable law. InterAgency is an equal opportunity employer.

Job Description MDW is seeking Future Hire candidates to provide Acquisition Data Scientist support to our Assistant Secretary of the Navy for Research, Development & Acquisition (ASN/RD&A) client. The Acquisition Data Scientist must be capable of applying extensive professional knowledge, skills, training, and experience to support the ASN(RD&A) organization. This position will provide industry engagement analysis and support across the ASN(RD&A) enterprise. This position is located onsite at the Pentagon, Arlington, VA. The Acquisition Data Scientist will provide the ASN(RD&A) organization with Data Analytics and Management support. The Acquisition Data Scientist may perform a combination of some or all of the following duties: • Provide support and analysis for data science, analysis, and management expertise for acquisition data, to include identification, collection, cleansing, analysis, and interpretation of acquisition data, transforming raw data into meaningful information., • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets., • Visualize, interpret, and report data findings. Create dynamic data reports., • Develop and update acquisition, business, and sustainment (ABS) data system activities, processes, and guidance for accountability across the DON enterprise., • Coordinate, collect, consolidate, and analyze information contained in various databases and information collected during data calls for ABS data systems., • Provide strategic evaluation of ABS data system-related issues and support developing strategic plans for improvement initiatives., • Coordinate, collect, consolidate, and test ABS data systems to problem solve, validate, account for DON requirements, and support Financial Improvement and Audit Readiness (FIAR)., • Develop training materials for ABS data systems., • Provide ABS data systems support, including but not limited to hands-on or remote training and job aids., • Develop and maintain a website to support the DON ABS data systems communities., • Participate in the review of various ABS data systems (for software releases), and support the implementation of correcting functioning software., • Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives., • Experience with Qlik, PowerBI, Python, and others, and applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index., • Minimum of a Bachelor's degree. Incorporated in 2012, MDW is a small business with headquarters in McLean, VA, and offices in Huntsville, AL. We provide Federal government clients with consulting, management services, advisory and assistance services, decision support, strategic planning, process planning and improvement, task execution, and metrics analysis. Our mission is to make our clients more successful by providing honest assessments, exceptional analysis, prudent advice, direct communication, and hard work. Our core capabilities include: • Strategic Planning, • Cost Estimating, • Budget Programming and Justification, • Budget Execution, • Acquisition Management Additional Information We offer a competitive and comprehensive benefits and compensation package for our employees, including but not limited to: • Health, • Dental, • Vision, • Group Life Insurance/Long Term Disability/Short Term Disability, • Retirement/401(k)

Summary You will serve as Distinguished Engineer/Scientist for Hydroacoustic Signatures in the Signatures Department of CARDEROCK DIV NS. The Secretary of Defense has ordered a department-wide hiring freeze subject to certain limited exceptions. This position is subject to the DoD hiring freeze. Offers of employment related to this vacancy announcement will not be executed until the position has an approved exemption. Summary You will serve as Distinguished Engineer/Scientist for Hydroacoustic Signatures in the Signatures Department of CARDEROCK DIV NS. The Secretary of Defense has ordered a department-wide hiring freeze subject to certain limited exceptions. This position is subject to the DoD hiring freeze. Offers of employment related to this vacancy announcement will not be executed until the position has an approved exemption. Overview Accepting applications Open & closing dates 12/05/2025 to 12/19/2025 Salary $192,744 to - $207,500 per year Pay scale & grade ND 6 Location 1 vacancy in the following location: Bethesda, MD Remote job No Telework eligible Yes-This position is eligible for ad-hoc/situational telework at the discretion of management. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed Yes-Relocation expenses (i.e. PCS) or relocation incentives as described in 5 USC 5753 may be authorized in accordance with applicable travel regulations. Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential None Job family (Series) • 0801 General Engineering, • 0830 Mechanical Engineering, • 0850 Electrical Engineering, • 0871 Naval Architecture Trust determination process Announcement number ST-12843577-26-MCJ Control number 851661300 This job is open to Internal to an agency Current federal employees of the hiring agency that posted the job announcement. Land and base management Current or former employees of a base management agency. Veterans Veterans of the U.S. Armed Forces or a spouse, widow, widower or parent of a veteran, who may be eligible for derived preference Military spouses Military spouses of active duty service members or whose spouse is 100 percent disabled or died on active duty. Individuals with disabilities Individuals who are eligible under Schedule A. Clarification from the agency Current permanent employees of DON, Former permanent federal employees, and VEOA eligibles. Duties • You will serve as the principal technical expert and advisor for Hydroacoustic Signatures (i.e., Radiated Flow Noise, Propulsor Noise, and Platform Noise) mitigation technology development for Surface Ships, Submarines, and Unmanned Vehicles., • You will generate and develop new ideas and information that will lead to advances in hydroacoustic signature control technologies., • You will serve as the authoritative expert for Hydroacoustic Signatures, providing oversight and coordination of mitigation technology research and development initiatives., • You will provide Hydroacoustic Signatures phenomenology and technology consultation to OPNAV, TEAMSUB, ONR, DARPA, NAVSEA, ARL/Penn State University, and numerous universities and contractors., • You will serve as a nationally and internationally recognized expert and conduct broad-based analysis integrating the frontiers of: Hydroacoustic theory, measurement, modeling and simulation and mitigation technology development,, • You will engage in strategic planning and technical oversight of research and development efforts related to hydroacoustic signatures., • You will provide technical guidance to research team efforts in the theoretical and experimental research and development of advanced Hydroacoustic signature control technology. Requirements Conditions of employment • Must be a US Citizen., • Must be determined suitable for federal employment., • Must participate in the direct deposit pay program., • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov, • Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326., • Males born after 12-31-59 must be registered for Selective Service. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin. To meet the minimum qualification requirements for this position, your resume must show that you possess the Technical Qualifications (TQ) related to this position - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit will be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications. TQ#1. Recognized leader and technical expert in Hydroacoustic Signatures, with a proven track record of publications, presentations, and participation in relevant professional organizations and naval platform integration programs. TQ#2. Demonstrated leadership in transitioning newly developed Hydroacoustic Signatures mitigation technologies and strategies into effective fleet systems and naval platforms across large research and development teams. Additional qualification information can be found from the following Office of Personnel Management website: AND All Professional Engineering series, 08XX Physics Series, 1310 Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: For 08XX Professional Engineering Series: A. Degree: Engineering. Successful completion of a bachelor's or higher engineering degree from an accredited college or university. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET ; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position. -or- B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions; or (II) Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico; or (III) Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A; or (IV) Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.) For 1310-Physics Series: A degree in physics; or related degree that included at least 24 semester hours in physics; or Combination of education and experience -- courses equivalent to a major in physics totaling at least 24 semester hours, plus appropriate experience or additional education An advanced degree of Master's or Ph.D. in one of the educational fields listed above is highly desirable. Additional information Senior Scientific Technical Manager (SSTM) positions are positions which exceed the ND-05 (GS-15 equivalent). SSTMs provide a continuity of technical leadership and oversight that is needed to ensure long term stewardship of an organization's technical capabilities. Typically, applicants for SSTM positions are expected to have a graduate degree, significant research or development experience, and a national or international reputation in his/her field and are recognized throughout the applicable community as a renowned expert. SSTM positions are in the competitive service. This position is not covered by the Department of Defense Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: There are three key documents that contain important information about your rights and obligations. Please read and retain these documents: • Noncriminal Justice Applicant's Privacy Rights , for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back,, • FD-258 Privacy Act Statement - FBI (this is the same statement used when your fingerprints are submitted as part of your background investigation), and Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are desig...

Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations -

Description The Leidos Quantum Incubator is looking for thought leaders with a strong background in quantum technologies / quantum information science, specifically with focuses on quantum optics, sensing, and communications. This is NOT a position for quantum computing efforts or interests. This is an exciting opportunity to use your experience to help grow the Leidos quantum technologies portfolio of contract and internal R&D projects, benchmarking, and operational prototypes. In this position, the Senior Quantum Scientist will participate in the full life cycle of research & development of optical systems for the study of quantum-enabled remote sensing and communications. Ideal candidates should be interested in a career devoted to applied research and development with strong experimental, hardware skills and should be interested in maturing technologies from concept to prototype. Primary responsibilities: * Design, build, perform tests, and analyze quantum experiments in various systems and platforms for cutting edge devices in quantum communication, sensing, and precision positioning, navigation, and timing * Perform laboratory and field tests to prove and validate quantum experimental theories as viable products in applicable domains, and benchmark results within the field * Write proposals, publish papers, attend and present at conferences, and briefing internal and external customer * Collaborate with other team members, engineers, and scientists across the company and different fields to leverage quantum technologies to achieve organizational goals Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows: * T4: Bachelor’s degree in physics, applied physics, engineering, or related fields and 8+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. * T5: Bachelor’s degree in physics, applied physics, engineering, or related fields and 12+ years of prior relevant experience. Additional years of experience may be considered in lieu of degree requirements. Basic Qualifications: * Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing * Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources * Experience building and benchmarking software prototypes, to include metrics development, and theoretical/analytical/computational skills * Strong technical writing skills with experience in writing advanced technical proposals. * Provide business development support to help grow Arlington Branch’s project portfolio * US Citizenship with the ability to obtain and maintain a US government security clearance * Strong desire to learn new technologies and flexibility to change from one project to another quickly * Experience with standard programming languages for analytics or scientific applications * Ability to effectively communicate to both technical and non-technical audiences * Highly motivated to publish in peer-reviewed journals and present research at conferences Preferred Qualifications: * Ph.D. in Physics, Applied Physics, Engineering, or related fields * Extensive experience researching quantum sensing, communications and/or quantum information technology * Experience operationalizing machine learning and/or autonomy, and analytical capabilities * Experience and domain knowledge related to data processing, aerospace engineering, payload design, satellites * Demonstrated experience in proposing and winning independent research funding * Electronics and computer automation of laboratory experiments * Experience with big data applications, data science, or data analytics methods and tools * DoD Top Secret Clearance 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. November 20, 2025 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 $104,650.00 - $189,175.00 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. About Leidos 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 approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits 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 ___. Securing Your Data 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 ___. Commitment to Non-Discrimination 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.

Description Are you a motivated Research Scientist specializing in Computational Design and Manufacturing with a technical vision and hands-on knowledge of mission-focused systems? The Leidos Innovations Center’s newly established Information and Data Science Division is seeking a Principal Autonomy and Resilient Systems Scientist to help lead strategic solution developments and projects. The ideal candidate will have a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art. We are looking for a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding. Primary Responsibilities • Develop innovative solutions to challenging problems of interest to the Defense Applied Research Projects Agency (DARPA), the U.S. Department of Defense (DoD), and Intelligence Community (IC)., • Engage R&D customers and transition partners to understand technical gaps and needs for computational design and crisis manufacturing for mission critical systems., • Lead teams that execute advanced research in areas of autonomy, optimization, and generative design., • Develop and deliver complex AI/ML model pipelines and software products., • Collaborate in cross-discipline teams to deliver innovations that provide measurable mission impact., • Track technology trends in the customer and broader R&D communities. Basic Qualifications • Proven track record developing and delivering complex AI/ML model pipelines and software products., • Bachelor’s degree in Computer Science, Applied Mathematics, Industrial Engineering or a related field and 12+ years prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred), • Industry and/or academic experience in generative design, constrained optimization, automated planning, or AI-enabled CAD integration., • Past experience optimizing manufacturing processes through systems engineering and operations research., • At least 4 years of experience with programming languages such as Python, C/C++, Rust, or MATLAB., • Strong verbal and written communication skills, with experience engaging with senior leadership and technical teams as well as ability to present complex technical solutions in a clear, understandable manner., • Ability and willingness to obtain and maintain a DoD Secret clearance. U.S. citizenship is required. Preferred Qualifications • Proven track record in proposing, winning, and executing contract R&D with customers such as DARPA, IARPA, or similar agencies within the last 5 years., • Ph.D. in Computer Science, Applied Mathematics, Industrial Engineering or a related degree., • Strong publication track record demonstrating experience advancing the state of the art in generative design, constrained optimization, automated planning, or AI-enabled CAD integration., • Domain experience in design and manufacturing of naval, air, or surface platforms and autonomous systems., • Experience with simulation, manufacturing automation systems, and digital twin frameworks., • Experience with automation and industrial control languages for integrating legacy equipment., • Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommend alternative technical approaches, and shape future opportunities., • Proven experience forming strong teams composed of members from academia and industry for competitive research and development opportunities., • Active DoD Secret clearance., • Ability and willingness to work a hybrid schedule onsite in either San Diego California or Arlington Virginia. 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. December 1, 2025 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 $126,100.00 - $227,950.00 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. About Leidos 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 approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits 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 ___. Securing Your Data 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 ___. Commitment to Non-Discrimination 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. #Remote

Senior Data Scientist Position Summary DarkStar Intelligence, LLC is seeking a highly experienced and accomplished Data Scientist to join our team as a key member, dedicated to analyzing complex data sets and delivering actionable insights to drive mission-critical decisions. Location: Washington, D.C. Schedule: (FT/PT): Full-Time Travel Required: No Shift: Day Remote Type: No Remote Security Clearance: Current TS/SCI Polygraph: Counterintelligence Polygraph (Preferred) Primary Duties & Responsibilities: • Review, evaluate, design, implement, and maintain environmental and operational databases., • Apply database management concepts, data storage and retrieval methods, statistical analyses, and various programming languages to support detailed analysis., • Develop strategic plans and recommendations, ensuring alignment with project specifications and data handling requirements., • Prepare thorough and accurate documentation, including tables, data visualizations (plots, maps, graphics), and reports for clear data interpretation., • Leverage advanced analytics and sophisticated software tools to analyze data, deliver insights, and provide clients with actionable recommendations based on data-driven evidence., • Work collaboratively with cross-functional teams to identify and solve data-related challenges, maximizing data's value and supporting the client's mission through innovative data science techniques.Minimum Qualifications:, • Current TS/SCI, • Counterintelligence Polygraph (Preferred), • Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a closely related field About DarkStar Intelligence DarkStar Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB). We are dedicated to advancing mission support and tradecraft development for our clients while emphasizing employee retention and client satisfaction. We deliver high-quality, intelligence-based solutions grounded in our “Core Four” values: humility, passion, agility, and ownership. Our team members embody humility by prioritizing the mission over personal recognition, bringing passion through relentless enthusiasm for problem-solving and innovation. With agility, they adapt swiftly to changing mission requirements and excel in team dynamics. Above all, our personnel take full ownership of their work, holding themselves accountable to deliver results and uphold the highest standards of excellence. We strive to make our country safer and create a lasting impact through these values. Our Commitment to Diversity and Inclusion At DarkStar Intelligence LLC, we believe that Equal Employment Opportunity (EEO) is not just a policy but a core value that defines our approach to building a diverse, inclusive, and respectful workplace. We are committed to fostering an environment where everyone is valued based on their skills, abilities, and qualifications and where employment decisions are made solely on merit. We uphold a zero-tolerance stance on discrimination of any kind. Our commitment ensures that no one is discriminated against based on race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Our EEO principles are embedded in every facet of the employment process—from recruitment and hiring to promotions, transfers, training, and career development. We also apply this commitment to maintaining an inclusive work environment, equitable compensation and benefits, fair performance evaluations, and respectful terminations. At DarkStar Intelligence, diversity and inclusion are more than policies; they are essential to who we are and how we operate. EEO Flyer: ___ Employee Benefits At DarkStar Intelligence LLC, we believe investing in our employees means providing a comprehensive benefits package designed to support their personal and professional well-being. We offer a variety of benefits to meet the diverse needs of our team: Core Benefits: • Health Coverage: Medical, Dental, and Vision plans to ensure you and your family access essential care., • Income Protection: Life Insurance, Short-Term Disability, and Long-Term Disability to give you peace of mind., • Retirement Planning: A 401(k) plan to help you build a secure financial future., • Work-Life Support: Employee Assistance Program (EAP) and Legal Services for added support whenever needed., • Paid Time Off: Generous PTO, 11 paid Federal Holidays, plus a Floating Holiday to celebrate what matters most to you. Voluntary Benefits: • Identity & Legal Protection: LegalShield and IDShield protect your identity and provide access to legal resources., • Additional Coverage: Whole Life Insurance, Accident Insurance, and Critical Care Insurance for extra protection and peace of mind. At DarkStar Intelligence, we are committed to providing benefits that empower you to thrive inside and outside the workplace. We value your contributions and strive to ensure you feel supported every step of the way.

Full-time Description About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. As a Data Scientist you will work with Machine Learning Engineers and MLOps Engineers to build, scale, and maintain AI/ML training and scoring pipelines.?You will also work lead development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.?Lastly, you will architectures and the CTO team to assess and research technologies, AWS services, and frameworks for our Cloud & DevSecOps pipelines.? You should be analytical and an excellent communicator.? Responsibilities: • Leading statistical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses?, • Leading and maintaining organizational practices in version control, software development and configuration management, including key performance indicators for the delivery of machine learning and artificial intelligence algorithms?, • Maintaining current data product APIs, releasing ML models on a regular cadence, building capability of continuous training and monitoring?, • Explaining model behavior/results to both Technical and Non-Technical Audiences?, • Leading engagements with key business stakeholders in discussions on business strategies, opportunities, and project KPIs?, • Serving as a subject matter expert on machine learning and artificial intelligence?, • Leading research and development of machine learning and artificial intelligence solutions from ideation to implementation to product?, • Anticipating and solving strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions?, • Demonstrating the technical skill to review, verify, and validate the software code developed in the project?, • Troubleshooting techniques and fixing the code bugs?, • Monitoring processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage?, • Encouraging and building automated processes wherever possible?, • Participating in incidence management and root cause analyses? Required Qualifications: • All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.?, • Bachelor’s Degree in Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Scientist, or related technical field?OR, • In lieu of a degree, ten years of general information technology experience and at least eight years of specialized experience, • Working with Medicaid Data, • Experience working in AWS?, • Experience working on Linux based infrastructure?, • Strong experience with Python, PySpark, R, RStudio, and SageMaker?, • Strong experience with data mining, supervised, and unsupervised learning methodologies including data dimensionality reduction, correlation analysis, linear regression, PCA, clustering, random forest, etc.?, • Strong experience with AI/ML libraries such as scikit-learn, SparkML, TensorFlow, PyTorch, • Experience with Agile methodologies?, • Experience with Atlassian Jira/Confluence?, • Proficient with relational databases and advanced SQL?, • Experience configuring and managing databases such as Hive, MySQL, MongoDB?, • Excellent troubleshooting skills?, • Working knowledge of various tools, open-source technologies, and cloud services? Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer a highly competitive salary and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability. Salary Description $125,800 - $150,000

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience • Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems., • Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources., • Demonstrated work experience programming with Python, • Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics., • Demonstrated experience with general Linux computing and advanced bash scripting, • Demonstrated experience with SQL., • Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS, • Demonstrated experience processing data sources containing structured or unstructured data, • Demonstrated experience developing data pipelines with NiFi to bring data into a central environment, • Demonstrated experience delivering results to stakeholders through written documentation and oral briefings, • Demonstrated experience using code repositories such as Git, • Demonstrated experience using Elastic and Kibana, • Demonstrated experience working with multiple stakeholders, • Demonstrated experience documenting such artifacts as code, Python packages and methodologies, • Demonstrated experience using Jupyter Notebooks, • Demonstrated experience with machine learning techniques including natural language processing, • Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats, • Demonstrated experience developing tested, reusable and reproducible work, • Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analyticsDesired Skills and Demonstrated Experience, • Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture., • Demonstrated experience using big data processing tools such as Apache Spark or Trino, • Demonstrated experience with machine learning algorithms, • Demonstrated experience with using container frameworks such as Docker or Kubernetes, • Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset, • Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fieldsLocation:, • McLean, Virginia, • TS/SCI with Full Scope Polygraph, • Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Data Scientist professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Data Scientist, Data Operations. RESPONSIBILITIES The Data Scientist position is charged with helping to build the organization’s evolving data analytic and research function. Reporting to the Director of Data Science, Data Operations, the individual will be engaged with all aspects of the data operations function, including the development of internal and external-facing business intelligence products, oversight of data warehousing, and analyses and reports supporting Common App's organizational priorities and strategic initiatives. The Data Scientist will build efficient systems, processes, and workflows to execute the data operations agenda. They will produce and maintain ETL processes, tables, and visualizations supporting Common App’s commitment to access and equity across the organization’s functional areas. They will also collaborate closely with our Technology Services (Data Warehousing Engineering), Product Strategy, and Data Analytics and Research teams to maximize the impact of the data warehouse. Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities. QUALIFICATIONS This role requires: • Candidates must live in the United States., • Willing to travel to attend twice annual Common App Retreat., • Bachelors degree in quantitative social sciences discipline (e.g., Public Policy, Economics, Education Policy, Education Measurement, Psychometrics, Computational Psychology, etc.) or related quantitative field (e.g., Data Science, Statistics); or an equivalent combination of education and experience., • 4-6 years of related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience., • Experience in designing and implementing data warehousing, reporting, and analytic systems., • Experience working with and validating imperfect data., • Experience with descriptive and inferential statistics., • Experience working with National Center for Education Statistics, Census, College Scorecard, National Student Clearinghouse, Integrated Postsecondary Education Data System, and/or other publicly available datasets relevant to education., • Fluent in data manipulation and coding with SQL and/or R., • Understanding of the strategic context of Common Application’s role in the higher education industry., • Strong interpersonal skills and service orientation., • Proven ability to communicate data and research findings to non-technical audiences., • Ability to work effectively in a collaborative and diverse environment The ideal candidate will possess: • Master’s or doctorate degree in a quantitative discipline and at least one year of related experience., • 2-4 years of related experience with data visualization (Tableau, R preferred)., • 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3., • Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R., • Experience working with Agile frameworks for cross-functional, product-minded collaboration., • Teaching and supporting non-data experts in the use and interpretation of data., • A passion for higher education is a plus. PAY RANGE • Work-Life balance, • Virtual-first office, • Paid Time Off (PTO), • Seven company-wide holidays, • Nine floating holidays*, • Sick leave, • Virtual-first support, • Choice of PC of MAC laptop, • May choose an external monitor, keyboard, mouse, and/or headset, • One-time office set-up stipend, • Monthly remote work stipend, • Monthly mobile stipend, • Financial security, • Market-based salaries, • Performance-based bonus, • 403(b) retirement plan, • 5% company contribution, • additional 5% company match, • 3-year vesting schedule, • Participation may begin immediately, • Health & wellness, • Choice of two health insurance plans, • Health Savings Account, depending on health plan selection, • Medical Flexible Savings Account, depending on health plan selection, • Vision insurance, • Dental insurance, • Insurance coverage begins on the date of hire, • Dependent Care Flexible Spending Account, • Maven virtual clinic for women’s and family health, • Company provided life and ad&d insurance, • Opportunity to purchase additional life insurance for self, spouse, and dependents, • Company provided short and long-term disability insurance, • Career development, • Budgeted annual funds for professional development, • Growth opportunities within the company, • Additional perks, • Mutual of Omaha Employee Assistance Program, • Mutual of Omaha will preparation services, • Mutual of Omaha travel assistance, • Payroll dedication pet insurance through PinPaws, • 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: • Provide a job offer without an interview, • Ask for payment to process documents, purchase equipment or for any other reason, • Request banking or credit card information If you believe you’re a victim of a job scam, report it to the ___ or your ___ To learn more about job scams, read the FBI’s___or visit the ___

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

About the Role At Mercor, we are partnering with top AI labs in applying AI to complex scientific challenges to build a state-of-the-art benchmark to evaluate the capabilities of the lab’s AI models in the field of bioinformatics. Our goal is to test a model's ability to autonomously design and execute complex bioinformatics workflows, starting from raw sequencing data and a natural language prompt. This project requires a sophisticated blend of tool proficiency, deep biological domain knowledge, and rigorous scientific reasoning. We are seeking talented researchers to help us create these benchmark tasks using real-world, published scientific data. A brief 15-minute interview precedes candidate selection, with decisions typically made within four days following assessment completion. Currently, applicants must be based in the U.S., UK, Canada, Australia or New Zealand. Why You’re a Great Fit You're a strong candidate if you: - Must be a current graduate student (M.S. or Ph.D.) or hold a higher degree (e.g., Postdoctoral Fellow, Research Scientist) in Bioinformatics, Computational Biology, Genomics, or a related quantitative field. - Experience using bioinformatics command line tools - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. Role Highlights - Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours. - Fully remote and asynchronous scheduling. - Initial commitment of 1–2 months, with opportunities for extension. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect About Mercor Mercor is a $2B company that connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to leverage your skills in advancing revolutionary AI technologies!

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission. \n Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, we’ve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it’s trained on. That’s why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders. We’ve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility. \n What you will be doing \n We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems. \n\n • Adopt a “user mindset” to produce natural data to meet the realistic needs you have or would use AI for.\n, • Use the tool of rubrics to address user needs in a structured way.\n, • Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.\n, • Education: Bachelor’s degree or higher (or currently enrolled).\n, • Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.\n, • Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses.\n, • Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves:\n • Experience in fields like literature, creative writing, history, philosophy, theology, etc.\n, • Prior writing or editorial experience (content strategist, technical writer, editor, etc.).\n

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: \n • 2+ years of experience using data science programming languages such as Python or R\n, • Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage\n, • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket\n, • Knowledge of statistical analysis, predictive modeling, and machine learning met hods\n, • Ability to design and develop automated analytic sof tware, techniques, and algorithms\n, • Ability to develop solutions and integrate and extend free and open-source sof tware ( FOSS ) or COTS products\n, • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS\n, • TS / SCI clearance\n, • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools asso cia ted with these disciplines\n, • Experience with intelligence or operations analysis in the DoD or Intelligence Community\n, • Knowledge of DevOps, including CI / CD pipelines and Jenkins\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n 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.

Data Scientist, Senior The Opportunity: In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Analysts employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders. As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. What You'll Work On: \n • Design and execute statistical analyses on large, complex datasets from diverse sources.\n, • Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.\n, • Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.\n, • Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.\n, • Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.\n, • Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.\n You Have: \n • 7+ years of experience with data science, statistical analysis, or quantitative research\n, • 7+ years of experience with the development of algorithms leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or tidyverse\n, • 7+ years of experience analyzing structured and unstructured data sources\n, • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification\n, • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses\n, • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK\n, • TS/SCI clearance\n, • Experience with natural language processing (NLP) techniques, such as text classification or entity recognition\n, • Experience with geospatial data analysis\n, • Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing\n, • Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams\n, • Experience working with the U.S. Department of Defense or the Intelligence Community\n, • Experience with graph analytics, network analysis, or anomaly detection techniques\n, • Experience with version control (Git) and reproducible research practices\n, • Knowledge of machine learning model development and deployment practices\n, • Possession of excellent written and verbal communication skills\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (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. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n 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.

Computer Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: \n • 8+ years of experience with scientific techniques such as mathematics, statistics, information science, artifi cia l intelligence, machine learning, probability modeling, data mining, data engineering, or data warehousing\n, • 8+ years of experience correlating complex, technical findings into graphical, written, visual, and verbal narrative products\n, • Experience with rapid prototyping for exploratory analysis on large volumes of data\n, • Experience working on classified networks and in support of DoD or IC clients\n, • Ability to advise about data management within hardware, sof tware, storage, and bandwidth constraints\n, • Ability to employ data science techniques to support predictive analysis, wargaming, and strategy development\n, • Ability to work independently with minimal oversight and direction\n, • TS/SCI clearance with a polygraph\n, • Experience reviewing and evaluating technical documentation for compliance with applicable standards\n, • Experience developing and delivering training materials and workshops about technical processes\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (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. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n 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.

Advanced Data Scientist and Researcher The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics, data science, and consulting expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We're looking for someone like you to lead complex data exploration and analytics projects through your experience with data solutions, operationalizing models, containerization, data architecture, and cloud computing on data analytics platforms used by the Department of Defense. As an advanced data scientist and researcher on our National Security team, you'll introduce innovative data analytics and AI methodologies to make a real-world impact on resiliency projects, change the world, and protect our Service members. You'll share your skills in data science and AI and shape the future of analytics through a variety of means, such as peer-reviewed papers and major conference presentations. You will apply expert understanding of social science disciplines, research methodology, and statistics to investigate, analyze, and evaluate warfighter readiness and resiliency policies, programs, and procedures. In addition, you will apply specific functional knowledge, including working and general industry knowledge, leading solutions, and working independently on a variety of Department of Defense problems of complex scope in a dynamic and fast-paced environment. You will be responsible for reviewing or guiding the activities of more junior employees. Join us. The world can't wait. You Have: \n • 10+ years of experience conducting social science, public health, and readiness research supporting the DoD initiatives\n, • 10+ years of experience creating verbal and written communication products for non-technical clients, including research reports, briefing decks, and information papers\n, • 10+ years of experience interpreting statistical findings and presenting data and research results to non-technical audiences\n, • Knowledge of research methodology, including qualitative methods, quantitative methods, and statistics\n, • Knowledge of workplace climate indicators that contribute to warfighter readiness\n, • Secret clearance\n, • Experience applying public health and social science research in a military setting\n, • Knowledge of multivariate statistical methods, including logistic regression, multivariate regression, or multilevel modeling\n, • Ability to leverage quantitative methodology to shape research questions and data models\n, • Ability to operationalize key research concepts\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (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. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n 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.

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