Data scientist jobs in Maryland - 442 jobs

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.* Lead modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS.* Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.* Collaborate with key stakeholders from business line valuation, ALM, risk management, financial/risk reporting, etc.* Embrace new technologies to improve workflows.* Design and build external or embedded controls to mitigate operating risks in workflows.* Apply risk management techniques and procedures, including the company's mandated risk methodologies.* Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.* Serve as a company-wide expert in multiple specialties, including portfolio yield projections.* Act as a subject matter expert for colleagues with less experience.* Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.* Design and lead multiple projects, with accountability for ongoing activities and objectives.* Review the work of others, providing direction and insight on research solutions to problems presented.* Develop staffing plans, recruit qualified candidates, and develop internal staff resources.* Lead multiple advanced research projects.* Interpret internal or external issues and recommend solutions/best practices.* Solve complex problems; take a broad perspective to identify solutions.* Build efficient models and processes* Apply judgment to modeling choices in a defensible manner.* Assess the materiality of various modeling and data choices.* FSA or equivalent professional designation along with Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics or related field, and 8 years of relevant experience. In lieu of Bachelor's, will accept Master's in a listed discipline and 6 years or relevant experience. In lieu of FSA will accept ASA or equivalent professional designation and 14 years of relevant experience.* Demonstrates high quality leadership, judgment, organization and prioritization skills.* Exhibits effective management skills to motivate and develop a staff.* Effectively communicates, both verbally and in writing, advanced mathematical and analytical concepts to various audiences.* Works well under pressure and within time constraints to effectively accomplish individual and team objectives.* Experience with asset liability management practices* Comprehensive understanding of investment and finance concepts to creatively solve complex analytical problems* Leadership capabilities to direct teams and projects* Advanced degree* Insurance or asset/derivatives modeling experience* AXIS software experience- The Salary for this position generally ranges between $157,000 - $175,000 annually. ***Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including***qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.* Pension Plan* 401k Match* Employee Stock Purchase Plan* Tuition Reimbursement* Disability Insurance* Medical Insurance* Dental Insurance* Vision Insurance* Employee Discounts* Career Training & Development Opportunities #J-18808-Ljbffr

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. Career Stability: We hire for careers, not contracts our work is growing People-Focused Culture: We value work-life balance, collaboration, and professional growth. Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). Competitive Pay & Benefits: Typical salary range: $117k-$196K, depending on experience and contract labor category 401(k) with employer contribution Health, dental, and vision coverage Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at: **************************** Position Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Essential Functions: As a Data Scientist, you will: Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. Design and execute experiments or create models to generate data when training datasets are unavailable. Generate reports and visualizations that provide actionable insights and summarize data findings for clients. Translate complex data analysis into clear, actionable recommendations. Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. Apply expert knowledge in data science to deliver solutions that address clients' business needs. Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Requirements: A current TS/SCI with Polygraph is required for this role. BA/BS in Math, Statistics, Engineering, Computer Science, or related field Proficiency with Python and R. Experience using large data sets to solve problems. Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling. AWS or Cloud experience. Ability to communicate complex models and concepts effectively in non-technical language. Desired Qualifications: Bachelors Degree with 4+ years of relevant experience. Masters Degree with 2+ years of relevant experience. PhD. with 1+ years of relevant experience. Familiarity with commercial and open-source data science software. Familiarity with relational databases: Oracle, SQL, and ETL tools. Salary and Benefit Information: The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off. About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - for example, each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development. Employment Category: Full Time / Exempt Location: Aberdeen Proving Ground (APG), MD, Travel: Minimal Security Clearance: DoD Secret Eligible, Active clearance preferred. Citizenship: Must be a U.S. Citizen Responsibilities: Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific research and development team developing and updating military sensors and detectors. Lead development of some efforts. · Develop software applications in Python and apply machine learning techniques to improve the detection and identification of chemical and biological materials. Develop, test, train, and maintain applications for developmental sensors and instrumentation. Develop and use tools to import, process, and store instrument and sensor datafiles for use in ML applications. Lead small development efforts and mentor junior developers. Support field testing of systems, train users, and assess system performance. Remain current on related subjects in the literature and news. Assist with the preparation of reports, journal articles, and presentations. Compensation & Benefits: Pay: From $85K - $105K per year based on experience and qualifications Schedule: 40 hours per week 401K with up to 4% employer matching contribution 3 weeks (120 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Requirements Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development Assist with the preparation of reports, journal articles, and presentations. Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development

Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. 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. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck!

Fort Meade, MD EnDepth Solutions has been invited to be involved in some very exciting and technically sophisticated work for one of our most prestigious agencies! In this position you will turn complex data sets into useful information to solve global challenges. You will be working on a large new contract with a focus on the development of Analytics, Knowledge Management artifacts, Information Sharing tools, Data Transformation, and Malware Analysis! Qualifications : Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical) Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Through analytic modeling, statistical analysis, programming (coding), and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to key intelligence community data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Work with current project teams to support ongoing intelligence focused projects. Develop/code/program software to support ongoing project work with minimal supervision. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Be able to ask questions and communicate issues and problems clearly to peers and management. Effectively communicate complex technical information to non-technical audiences. Can work with others easily and effectively. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting intelligence community collection, processing, storage and analytic capabilities and limitations. Bachelor's degree and 3 years of relevant experience. MUST have a TS/SCI Clearance w/ Poly Relevant Experience: Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms. Have experience with statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models) College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Understand and have experience in data management (e.g. data cleaning and transformation) including, but not limited to, data mining, data modeling and assessment. Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools. Have experience with at least one of the following computer languages (in priority order): Python, Java, R, C, C++ or any other one that would be relevant. Experience with more than one language is preferred. Experience with designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) is a plus. Ability to understand and study issues and solve problems. Degree Specialization: - MUST be in one of the following: Mathematics and/or Applied Mathematics Statistics and/or Applied Statistics Machine Learning Data Science Operations Research Computer Science Computer Engineering Physical/Hard Sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). Salary Range: $130,000.00 - 170,000.00 USD / year Salary Description: The pay range for this job, with multi-levels, 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. Company Description: Founded in 2010, EnDepth Solutions sets the standard for Cyber Security services and innovation within the DoD and Intelligence Community. EnDepth's core competencies are Security Engineering, Certification & Accreditation, and System Security Testing. Our professional staff bring high-level technology skills and industry knowledge and work closely with clients to design and implement a security solution closely tied to enterprise objectives. EnDepth Solutions is a Service Disabled Veteran Owned Small Business (SDVOSB) with numerous prime and sub contracts with customers in the Intelligence Community. Benefits Summary: We are proud to offer our employees a selection of high-quality benefits, including: Competitive Salaries Health Insurance - a choice of Gold level plans from United Healthcare Employer-funded Health Savings Account (HSA) Dental, Vision & Life Insurance Short-term and Long Term Disability plans - 100% Employer paid Safe-Harbor 401(k) Retirement Savings Plan 10 Holidays and competitive Paid Time Off (PTO) and Comp Time Professional Development and Educational Reimbursement Employee Referral Bonus Company Sponsored Events About EnDepth: Founded in 2010, EnDepth is a Service-Disabled Veteran-Owned Small Business (SDVOSB). Headquartered in Annapolis Junction, MD, EnDepth provides Engineering Services, Cyberspace Operations & Support, Data & Signals Analysis and HCI Services to the Government and Commercial Sectors. EnDepth was a recipient of the 2024 Best Places to Work by the Baltimore Business Journal! Don't see a job opening that's the perfect fit? Consider applying our General Position ***************************************************************** to join our talent pool for consideration for future opportunities. Have a friend who may be a good fit? Email ***************************** to refer them through our referral program and you could receive a one-time referral bonus up to $10,000.00! EnDepth is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about EnDepth's equal employment opportunity policy to *********************** .

Nakupuna Solutions is looking for a Data Scientist. The data Scientist is a technical individual who utilize modeling tools for the purposes of creating, evaluating, deploying and managing models. They develop and refine predictive models, perform statistical analysis, and generate data visualizations to communicate findings. Responsibilities The following reflects management's definition of essential functions for this position. Management may assign additional duties and responsibilities to this job at any time due to reasonable accommodation or other reasons. Utilize Palantir Foundry's modeling tools to create, evaluate, deploy, and manage data models. Develop advanced analytics solutions to address complex data challenges. Collaborate with cross-functional teams to integrate data-driven insights into strategic decision-making. Analyze large and diverse datasets to uncover trends and inform business strategies. Design and implement data integration and visualization solutions using Palantir's and platforms. Work closely with clients to understand their data needs and deliver tailored solutions. Ensure data quality and integrity throughout the analytics process. Qualifications Skills/Qualifications: The ideal candidate is able to multi-task, is highly organized, has great attention to detail. Proficiency in data analysis and modeling tools. Experience with data integration and visualization platforms (Preference given to Palantir Foundry). Advanced degree in Data Science, Statistics, or related fields. Strong problem-solving skills and the ability to work with complex datasets. Excellent communication skills to convey data insights to stakeholders. Ability to work collaboratively in a fast-paced, dynamic environment. Passion for using data to drive impactful solutions in various industries. Education/Experience: 3+ years of hands-on experience within the Palantir Foundry (Code Workbooks, Code Authoring, and Model Objectives) Advanced degree in Data Science, Statistics, or related fields. Clearance Requirements: Active Secret security clearance required. Must be a U.S. citizen. Work Location: This position is 3 days onsite in Aberdeen Proving Grounds, Maryland Physical Requirements: The ideal candidate must at a minimum be able to meet the following physical requirements of the job with or without a reasonable accommodation: Ability to perform repetitive motions with the hands, wrists, and fingers. Ability to engage in and follow audible communications in emergency situations. Ability to sit for prolonged periods at a desk and working on a computer. The Nakupuna Companies use a market-based compensation strategy to ensure that our employees are compensated within applicable market ranges commensurate with multiple factors, including but not limited to the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, organizational requirements, and position location. The projected compensation range for this position is $125,000.00 to $165,000.00 (annualized USD). The salary range displayed represents the typical salary range for this position and is just one component of Nakupuna Companies total compensation package for employees.

requires in-scope poly, within 7 years. * Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. * Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. * Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. * Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis. * Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. * Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five (5) years of experience analyzing datasets and developing analytics, five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.

Job DescriptionAcclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are currently recruiting for a Senior Data Scientist with a current TS/SCI w/ poly to support a critical program located in Annapolis Junction, MD. Relevant experience must be two or more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence, and/or Software engineering Required experience: Bachelor's degree and 15 years of relevant experience. Associate's degree and 17 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in: Mathematics, Applied Mathematics, Statistics/Applied Statistics, Machine Learning, Data Science, Operations Research or Computer Science. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources. Target salary for this position is between $225k-$250k, depending on experience. Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR OhhMgTxLAm

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description We are seeking a Data Scientist that will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Clearance A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position. Experience Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. Required skills: Five (5) years of experience analyzing datasets and developing analytics Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $206,000 - $223,000. Wealth Benefits: Above Market Hourly Pay 11% Roth or Traditional 401k with Immediate Vesting and Deposit Spot Bonuses for Assisting with Business Development and Company Growth Professional Development Bonuses for Certificates and Degrees Health Benefits: Company subsidized Medical Coverage 100% Company Paid Vision and Dental Coverage 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance Monthly Wellness Reimbursement Happiness Benefits: Paid Time Off with Flexible Work Schedules and Birthday Off Amazon Prime Membership and Monthly Internet Reimbursement Technology and Productivity Allowance for Equipment and Supplies Morale Building and Company Events to Celebrate our Successes and Build our Community Onboarding and Annual Swag Company Paid Professional Development and Training At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: ********************** To learn more about our company visit our webpage or LinkedIn.

**Who is USP?** The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. **Brief Job Overview** The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The **AMT Data Scientist** is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. **This is a two-year fixed term position** . The term may be extended based on external funding priorities and projects. **How will YOU create impact here at USP?** As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The **AMT Data Scientist** has the following responsibilities: + Create, validate, and continually refine multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks. + Leverage AI foundational models to extract insight from large and diverse knowledge bases and generate analyses. + Leverage feature engineering, validation, and explainability techniques to ensure model robustness and interpretability while managing high-dimensional data sets. + Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. + Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals and plans of research. + Explore and incorporate additional advanced data science techniques such as knowledge graphs, digital twins, and physical models as needed to solve novel problems. + Develop and deploy AL/ML tools for client and internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. + Design and implement models within key AMT areas of interest including: + Environmental impact of pharmaceutical manufacturing including carbon footprint, energy, water, waste as well as life-cycle assessment, and optimization against environmental impacts, cost of production, and risk. + Pharmaceutical supply chain risk and mitigations from key starting materials (KSM) through active pharmaceutical ingredients (API) and finished dosage forms (FDF) + Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), and 3D printing. + New topical areas as client needs and AMT internal strategy evolve. + Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. + Other duties as assigned. **Who is USP Looking For?** The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: + Bachelor's Degree and five (5) years of relevant experience; master's degree and three (3) years of relevant experience; or a Ph.D. and two (2) years of relevant experience required. + Demonstrated experience applying machine learning and statistical techniques to complex systems such as pre-processing, classification, regression, clustering, dimensionality reduction, anomaly detection, and model selection. + Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, Matplotlib, TensorFlow, PyTorch, LangChain; R; MATLAB;). + Experience following good software engineering practices and deploying solutions into production. + Demonstrated experience with cloud environments and services such as AWS, Azure, or Google Cloud. + Working knowledge of the pharmaceutical industry and manufacturing. + Strong analytical reasoning, critical thinking, and troubleshooting ability. + Ability to engage productively with both internal and external stakeholders + High attention to detail and integrity. + Initiative to solve problems and develop solutions on a deadline. + Solid communications skills - both written and oral. + Desire to affect change and drive public health impact. **Additional Desired Preferences** + Preferred degrees in data science, statistics, chemistry, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. + Familiarity with the application of data science to climate risk, sustainable manufacturing, lifecycle assessment, or other environmental considerations. + Experience applying data science to model supply chains, manufacturing quality, or other manufacturing operations. + Familiarity with retrosynthesis or AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) or multi-target convergent synthesis frameworks. + Familiarity with analytical techniques and platforms such as NIR, Raman, FTIR, and HPLC as well as chemometric methods to extract actionable insights + Experience executing on contract work, donor-funded projects, or government projects. **Supervisory Responsibilities** None, this is an individual contributor role. **Benefits** USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. **Compensation** Base Salary Range: USD **$87,200.00 - $113,450.00** annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor. **Job Category** Information Technology **Job Type** Full-Time

Serve as member of Advanced Data Science group to support UMMS's strategic priority to become a data-driven and outcomes-oriented organization. Principal responsibilities and tasks include: * Support analytic efforts designed around the organization's strategic priorities and clinical/business problems, including operations, supply chain, human resources, and finance. * Develop predictive (machine learning and deep learning approaches/algorithms) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. * Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. * Perform exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). * Design and prototype new application functionality for products. * Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. * Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings. * Perform statistical analysis to evaluate primary and secondary objectives from such pilots. * Support development of strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. * Build and extend analytics portfolio supported by robust documentation. * Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. * Assist leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. * Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. * Work with autonomy to find solutions to complex problems using open source tools and in-house development. * Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. * Up to 5% domestic travel. Company Description The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state's future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System's anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit ************* Qualifications Minimum Requirements * Master's degree in Applied Mathematics, Data Science, Physics, Industrial Engineering, Computer Science, Statistics, Economics or a related field. * Two (2) years of relevant work experience to include: * Machine Learning/AI, Statistics or Operations Research. * Programming with SQL, Python and R. * Machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. * Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to, data from electronic medical record, financial management, human resources, quality and supply chain). * Developing and deploying healthcare-relevant predictive and prescriptive models. * Combining analytic methods and advanced data visualizations. Compensation: $125,000 to $145,000 per year Benefits: Health, vision, dental, and life insurance, 403(b) retirement plan, paid time off, educational assistance, employee assistance program, and employee discounts. Additional Information .Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at ****************.

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. Requirements Clearance Required Top Secret SCI w/ Full Polygraph Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

A partner of Insight Global is looking for a highly skilled and driven Data Scientist to join their growing AI Innovation team. This group builds secure, private, and scalable AI solutions for asset managers, wealth managers, FinTech organizations, real estate investors, insurance firms, and banks. Their mission is to unlock the full potential of AI across investment research, compliance, onboarding, and enterprise intelligence. This role is ideal for someone who thrives at the intersection of advanced AI models, large-scale data systems, and financial technology-and who is excited to build next‑generation solutions from the ground up. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements -Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field -Deep expertise with LLMs and transformer-based architectures (e.g., GPT, BERT, RoBERTa; multimodal models) -Strong proficiency in Python, PyTorch, TensorFlow -Hands-on experience training, fine-tuning, and deploying LLMs in production environments -Solid understanding of RLHF, AI fairness, safety, and model robustness -Proven research background with ability to translate academic innovation into industry applications -Excellent communication, analytical, and problem‑solving skills -Published academic research in AI/ML -Experience with cloud AI platforms (AWS, GCP, or Azure) and MLOps toolchains -Familiarity with observability tools, monitoring frameworks, and compliance standards -Background in financial systems, quantitative modeling, or trading analytics -Prior mentorship, public speaking, or technical training experience

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Location: This position is a hybrid role based out of our HQ Bowie, MD office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry , and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; Health Economics Outcomes Research experience; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; Demonstrated problem solving, analytical reasoning and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes.

Apply Actuary Department of Health and Human Services Centers for Medicare & Medicaid Services Office of the Actuary (OACT) Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply Summary This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of the Actuary(OACT), Medicare & Medicaid Cost Estimates Group (MMCEG). As a Actuary, GS-1510-13, you will be responsible for the development of long-range and short-range financial programs for the national health care programs. Summary This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of the Actuary(OACT), Medicare & Medicaid Cost Estimates Group (MMCEG). As a Actuary, GS-1510-13, you will be responsible for the development of long-range and short-range financial programs for the national health care programs. Overview Help Accepting applications Open & closing dates 01/23/2026 to 02/02/2026 Salary $121,785 to - $158,322 per year Pay scale & grade GS 13 Location 2 vacancies in the following location: Woodlawn, MD Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1510 Actuarial Science Supervisory status No Security clearance Not Required Drug test No Position sensitivity and risk Moderate Risk (MR) Trust determination process * Credentialing * Suitability/Fitness Financial disclosure No Bargaining unit status Yes Announcement number CMS-OACT-26-12863299-PPP Control number 855259600 This job is open to Help Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL) and Interagency Career Transition Assistance Plan (ICTAP) eligibles only. Help This job is also open in another announcement to: The public Videos Duties Help * Develop actuarial estimation methodologies and models for historical and projected Medicaid, CHIP, Medicare-Medicaid dual eligibles, and BHP operation and for proposed program changes. * Analyze, evaluate, interpret, and communicate technical and actuarial data and information for publication in the Agency's annual Actuarial Report on the Financial Outlook for Medicaid. * Provide actuarial and technical guidance in review of Medicaid or other health care program waivers, alternate payment models, and managed care programs within OACT and other CMS components. * Develop standards and processes for reviewing Medicaid managed actuarial certifications for capitation rates. Requirements Help Conditions of employment * You must be a U.S. Citizen or National to apply for this position. * You will be subject to a background and suitability investigation. Qualifications ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT. Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from receiving further consideration. In order to qualify for the GS-13, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include: * Providing actuarial guidance in review of cost estimates, payment models, or managed care programs; AND * Developing project plans or coordinating project tasks and deliverables; AND * Analyzing, interpreting, or communicating actuarial data and information. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (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. You will receive credit for all qualifying experience, including volunteer experience. Education Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements: A bachelor's degree that included courses in actuarial science, mathematics, relevant statistics, business, finance, economics, insurance, or computer science totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics that included differential and integral calculus and one or more courses in mathematics for which these calculus courses were prerequisites. (TRANSCRIPTS REQUIRED AT TIME OF APPLICATION). OR Applicants for all grade levels must complete a minimum of 24 semester hours of courses in actuarial science, mathematics, relevant statistics, business, finance, economics, insurance, or computer science at a four-year college or university. This course work must have included a minimum of 12 semester hours of mathematics that included differential and integral calculus and one or more courses in mathematics for which these calculus courses were prerequisites. (TRANSCRIPTS REQUIRED AT TIME OF APPLICATION). OR Completion of a minimum of 24 semester hours of courses in actuarial science, mathematics, relevant statistics, business, finance, economics, insurance, or computer science at a four-year college or university. This course work must have included a minimum of 12 semester hours of mathematics that included differential and integral calculus and one or more courses in mathematics for which these calculus courses were prerequisites. (TRANSCRIPTS REQUIRED AT TIME OF APPLICATION). AND * One year of professional actuarial experience equivalent to at least the GS-12 level; AND * Associateship in the Society of Actuaries or the Casualty Actuarial Society or being an Enrolled Actuary. (CERTIFICATIONS/LICENSURE/PROOF OF ENROLLMENT OR MEMBERSHIP REQUIRED AT TIME OF APPLICATION). TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Please see "Required Documents" section below for what documentation is required at the time of application. Click the following link to view the occupational questionnaire: ******************************************************** Additional information Bargaining Unit Position: Yes - American Federation of Government Employees, Local 1923. Tour of Duty: Flexible Recruitment Incentive: Not Authorized. Relocation Incentive: Not Authorized. Financial Disclosure: Not required. Workplace Flexibility at CMS: This position has a regular and recurring reporting requirement to the CMS office listed in this announcement. CMS offers flexible working arrangements and allows employees the opportunity to participate in alternative work schedules at the manager's discretion. The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced federal employees with selection priority over other candidates for competitive service vacancies. To be qualified you must submit the required documentation and be rated well-qualified for this vacancy. Click here for a detailed description of the required supporting documents. A well-qualified applicant is one whose knowledge, skills and abilities clearly exceed the minimum qualification requirements of the position. Additional information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website at ****************************************************** Reasonable Accommodation (RA) Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended, that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency-Based Assessments and appropriate supporting documentation for RA must be received prior to commencing the USA Hire Competency-Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency-Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency-Based Assessments if you received the link after the close of the announcement. To determine if you need an RA, please click here to review the Procedures for Requesting a Reasonable Accommodation for Online Assessments. 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 Help 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 designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), the responses you provide on the application questionnaire, and the result of the online assessments required for this position. A Subject Matter Expert WILL assist in the resume review process to help determine whether you meet the minimum job qualifications. Please follow all instructions carefully. Errors or omissions may affect your rating. A Crediting Plan will be used to determine insofar as to how you meet the following Factors/Competencies: If you are found to be among the top qualified candidates, you will be referred to the selecting official for employment consideration. The category rating process does not add veterans' preference points or apply the "rule of three" but protects the rights of veterans by placing them ahead of non-preference eligibles within each category. Veterans' preference eligibles who meet the minimum qualification requirements and who have a compensable service-connected disability of at least 10 percent will be listed in the highest quality category (except in the case of professional or scientific positions at the GS-09 level or higher). Benefits Help 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 designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help To apply for this position, you must submit a complete Application Package which includes: 1. Resume showing relevant experience; cover letter optional. NOTE: As of September 27, 2025, federal agencies will only accept resumes that are two pages or less in length.Your resume must indicate your citizenship and whether you are registered with the Selective Service if you are a male born after December 31, 1959. Your resume must also list your work experience and education (if applicable), including the start and end dates (mm/yyyy) of each employment, along with the number of hours worked per week. For work in the Federal service, you must include the series and grade level for the position(s). For resume and application tips, visit: ************************************************************************** Your resume will be used to validate your responses to the assessment tool(s). We strongly encourage applicants to utilize the USAJOBS resume builder in the creation of resumes. Determining length of general or specialized experience is dependent on the information provided in the resume. Failure to include ALL of the information listed below on your resume WILL result in a finding of ineligible. * Official Position Title (include series and grade if Federal job) * Duties (be specific in describing your duties) * Employer's name and address * Supervisor name and phone number * Start and end dates in the month year format (e.g. June 2007 to April 2008) * Full-time or part-time status (include hours worked per week) * Salary 2. CMS Required Documents (e.g., SF-50, DD-214, SF-15, etc.). Required documents may be necessary to be considered for this vacancy announcement. Click here for a detailed description of the required documents. Failure to provide the required documentation WILL result in an ineligible rating OR non-consideration. 3. College Transcripts. Since this position requires specific education, you must submit a transcript attesting to your possession of the required education. You may submit an unofficial transcript or a list of college courses completed, indicating course titles, credit hours, and grades received. An official transcript is required if you are selected for the position. If selected, you must provide an original document before the final job offer may be extended. If you do not submit a transcript indicating your possession of the required education, you will not be considered for this position. College Transcripts and Foreign Education: Applicants who have completed part or all of their education outside the U.S. must have their foreign education evaluated by an accredited organization to ensure that it is comparable to the education received in accredited educational institutions in the U.S. For a listing of services that can perform this evaluation, visit the National Association of Credential Evaluation Services website. This list, which may not be all-inclusive, is for informational purposes only and does not imply any endorsement of any specific agency. If you are applying for a position for which a state license is issued (e.g., physician, engineer, attorney), possession of a valid and current U.S. professional license by a graduate of a foreign professional school or program is sufficient proof that the foreign education has been determined to be equivalent to the requisite U.S. professional education in that occupational field. 4. RPL Eligibility Required Documents: The following documents are required to verify your RPL eligibility: 1) Your most recent SF-50 (Notification of Personnel Action), or equivalent, as stated in the job announcement that shows position occupied (block #34 of your SF-50), tenure, grade and step, salary, and full performance level; 2) Your SF-50 showing Separation - RIF. If that is not available yet, then official documentation of your Reduction in Force (RIF) separation notice or a proposed removal/separation notice; AND 3) Your latest performance rating and rating of record (if separate documents) showing your rating score as at least fully successful or equivalent. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help Please read the entire announcement and all the instructions before you begin an application. To apply and be considered for this position, you must complete all required questionnaires, assessments and submit all required documentation as specified in the How to Apply and Required Documents sections. The complete application package must be submitted by 11:59 PM (ET) on 02/02/2026. The application process is as follows: * Click the Apply button. * Answer the questions presented in the application and attach all necessary supporting documentation. * Click the Submit Application button prior to 11:59 PM (ET) on 02/02/2026 To update your application, including supporting documentation: During the announcement open period, return to your USAJOBS account, find your application record, and click Edit my application. This option will no longer be available once the announcement has closed. To view the announcement status or your application status: Visit *************************************************** Your application status page is where you can view your application status, USA Hire assessment completion status, and review your notifications sent by the hiring agency regarding your application. Commissioned Corps Officers (including Commissioned Corps professionally boarded applicants) who are interested in applying to this position must send their 1-page cover letter and 2-page ONLY professional resume (not PHS Curriculum Vitae) to ************************ in lieu of applying through this announcement. The resume should specifically explain how you are qualified for this position and draw specific attention to your skills and experiences that demonstrate these qualifications. Also, send any transcripts, licenses, or certifications as requested in this announcement. Please send all documents in 1 PDF file. In the subject line of your e-mail, include only the Job Announcement Number. In the body of your e-mail, include your current rank name and serial number. Failure to provide this information may impact your consideration for this position. Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS. When the Department of Health and Human Services (HHS) completes its selections, the remaining list of qualified candidates may be shared with other federal agencies. You will have an opportunity to opt in if you would like your name, application material, and assessment results shared for consideration of employment with additional agencies. There is no guarantee of further consideration, and you can continue to explore other job opportunity announcements. Agency contact information CMS HR Inquiries Email *********************** Address Office of the Actuary 7500 Security Blvd Woodlawn, MD 21244 US Next steps Based on your application and your responses to the application questionnaire, you may be presented with instructions on how to access the USA Hire system to complete the online assessments. The online assessments must be completed within 48 hours following the close of this announcement. You will have the opportunity to request a testing accommodation for the assessment should you have a disability covered under the Americans with Disabilities Act (ADA). Your assessment results will be kept on record for one year and used toward future positions for which you might apply that require the same assessments. To be considered for the position, you must meet all qualifications, including meeting or exceeding the cut score on the required assessments. Within 30 business days of the closing date, 02/02/2026, you may check your status online by logging into your USAJOBS account (************************************ We will update your status after each key stage in the application process has been completed. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help To apply for this position, you must submit a complete Application Package which includes: 1. Resume showing relevant experience; cover letter optional. NOTE: As of September 27, 2025, federal agencies will only accept resumes that are two pages or less in length.Your resume must indicate your citizenship and whether you are registered with the Selective Service if you are a male born after December 31, 1959. Your resume must also list your work experience and education (if applicable), including the start and end dates (mm/yyyy) of each employment, along with the number of hours worked per week. For work in the Federal service, you must include the series and grade level for the position(s). For resume and application tips, visit: ************************************************************************** Your resume will be used to validate your responses to the assessment tool(s). We strongly encourage applicants to utilize the USAJOBS resume builder in the creation of resumes. Determining length of general or specialized experience is dependent on the information provided in the resume. Failure to include ALL of the information listed below on your resume WILL result in a finding of ineligible. * Official Position Title (include series and grade if Federal job) * Duties (be specific in describing your duties) * Employer's name and address * Supervisor name and phone number * Start and end dates in the month year format (e.g. June 2007 to April 2008) * Full-time or part-time status (include hours worked per week) * Salary 2. CMS Required Documents (e.g., SF-50, DD-214, SF-15, etc.). Required documents may be necessary to be considered for this vacancy announcement. Click here for a detailed description of the required documents. Failure to provide the required documentation WILL result in an ineligible rating OR non-consideration. 3. College Transcripts. Since this position requires specific education, you must submit a transcript attesting to your possession of the required education. You may submit an unofficial transcript or a list of college courses completed, indicating course titles, credit hours, and grades received. An official transcript is required if you are selected for the position. If selected, you must provide an original document before the final job offer may be extended. If you do not submit a transcript indicating your possession of the required education, you will not be considered for this position. College Transcripts and Foreign Education: Applicants who have completed part or all of their education outside the U.S. must have their foreign education evaluated by an accredited organization to ensure that it is comparable to the education received in accredited educational institutions in the U.S. For a listing of services that can perform this evaluation, visit the National Association of Credential Evaluation Services website. This list, which may not be all-inclusive, is for informational purposes only and does not imply any endorsement of any specific agency. If you are applying for a position for which a state license is issued (e.g., physician, engineer, attorney), possession of a valid and current U.S. professional license by a graduate of a foreign professional school or program is sufficient proof that the foreign education has been determined to be equivalent to the requisite U.S. professional education in that occupational field. 4. RPL Eligibility Required Documents: The following documents are required to verify your RPL eligibility: 1) Your most recent SF-50 (Notification of Personnel Action), or equivalent, as stated in the job announcement that shows position occupied (block #34 of your SF-50), tenure, grade and step, salary, and full performance level; 2) Your SF-50 showing Separation - RIF. If that is not available yet, then official documentation of your Reduction in Force (RIF) separation notice or a proposed removal/separation notice; AND 3) Your latest performance rating and rating of record (if separate documents) showing your rating score as at least fully successful or equivalent. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at: