Data engineer jobs in Frederick, MD

Work with Application Developers to ensure the new applications implemented on the enterprise network perform within expectations and do not negatively affect the performance of existing applications. Design and monitor application performance tests, analyze performance test data, make recommendations on application design and hardware resource needs. Present analysis and capacity projections to systems management and business partners. Identify changes in the systems architecture, applications or hardware that may impact performance or capacity of Windows based Servers. Design, develop, and produce performance and capacity reports that accurately reflect the state of the systems being monitored. Analyze performance data and determine appropriate thresholds for automated alerting. Experience Level: 3-6 Years. High level of experience with Server Systems. Advanced Knowledge and Experience with Server Capacity Planning, Server Performance and Server Performance Software Use/Support. DUTIES: The Telephony Network Administrator will assist with the proper maintenance of the LAN, Wireless, and WAN voice and data networks. The Associate IT Support Technician will provide Level 1 support and troubleshooting to resolve Network and Telephony issues. The Associate IT Support Technician will assist with ensuring the day-to-day operation, reliability, and integrity of the enterprise voice communications network including, but not limited to client hardware and software issues related to Network Telephony. This includes installing, maintaining, and managing all data network/telephony equipment such as phones, routers, LAN switches, wireless, servers, backup systems, network management and diagnostic tools, etc. under supervision. The IT Associate Support Technician will also assist with network maintenance and system upgrades including service packs, patches, hotfixes, and security configurations. The Associate IT Support Technician will perform basic inventory management processes and create equipment Return Material Authorizations RMAs and track these through to problem resolution.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have fun along the way. Our culture thrives on intellectual curiosity - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they are making history. Northrop Grumman Space Systems, located in Fairfax, VA, is seeking an experienced Computational Scientist with expertise in AI/ML modeling. This role involves collaborating with a multi-disciplinary team on cutting-edge projects in free space optical communications (FSOC). The ideal candidate will have a strong background in computational science, machine learning, and applied mathematics, with experience in data analysis, high performance computing, and GPU-based model development and optimization. The candidate will collaborate with scientists and engineers to understand atmospheric effects on FSOC missions and develop computational solutions to mitigate their impacts. In this role, the candidate will lead a small team to develop, implement, and optimize solutions using the latest AI/ML or other computational techniques, and educate team members on the latest AI advancements. Key attributes include creativity, curiosity, and critical thinking. The candidate should expect to work in-office in Fairfax, VA, alongside a team of atmospheric scientists and systems and software/hardware engineers whose experience ranges from junior to senior levels. Additionally, the candidate will provide advisory support to the Program Manager on meeting customer mission requirements. What You'll Get to Do: Design, develop, document, and test algorithms and applications that meet mission requirements Develop, implement, and optimize computational solutions, including AI/ML models, to support the mitigation of atmospheric impacts on FSOC Design and build data pipelines and analysis workflows for large datasets; deploy predictive models in production to support mission operations Collaborate with atmospheric scientists, systems and hardware engineers in planning, design, and development of atmospheric mitigation technologies. Meet with customers to understand requirements for mission success. Design and develop optimized computing algorithms and applications required to meet customers mission requirements Provide mentorship and guidance to other team members Work with junior engineers and atmospheric scientists to implement and validate algorithms Stay up-to-date with cutting-edge advancements in AI/ML What you need to be successful in the role: Comfortable with requirements-analysis and stake-holder engagement. Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. Solid communication skills (written, verbal, and visual) Ability to communicate data and engineering analysis regarding conclusions that were reached. Ability to create and present data reports to support investigations. Excellent attention to detail. Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. Prioritization skills to manage workload and make sound decisions for assigned team's model development and data analysis activities. Basic Qualifications Ability to obtain and maintain a Top Secret (TS/SCI) clearance with Polygraph. US Citizenship is a requirement. A PhD in a physical or computational science with 7 or more years of experience. Experience applying AI/ML techniques to solve real-world problems Demonstrated use of High Performance Computing (HPC) Systems Demonstrated use of accelerated computing, numerical analysis, applied mathematics Demonstrated proficiency with Python, C++, CUDA Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Demonstrated proficiency using libraries and toolkits including: TensorFlow, PyTorch Experience with Git and version control Experience communicating technical insights through development of briefings and/or papers Preferred Qualifications Experience with C, C++, Fortran software languages Experience with atmospheric science and modeling Experience with time series modeling, or probabilistic modeling including the use and application of deep neural networks Proven experience designing and building data pipelines and analysis workflows for large datasets Proven experience deploying predictive models in production to support mission operations Experience interfacing and presenting to executive audiences #LI-VP1 Primary Level Salary Range: $188,200.00 - $282,200.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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

Data Scientist Clearance Required: TS/SCI with Polygraph Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with polygraph clearances interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Responsibilities: 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. 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. * Apply expert knowledge in data science to deliver solutions that address clients' business needs. * Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. * 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. Required Degree and Experience: * Educational Background: * Bachelors Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2+ years of relevant work experience. * Or, a Masters Degree with 1+ years of relevant work experience. * Or, a PhD with 0+ years of relevant work experience. * Relevant Experience: * Experience in applied research, big data analytics, statistics, data science, computer science, operations research, machine learning, or related quantitative disciplines. Required Skills: * Programming & Data Analysis: * Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL. * Experience in developing experiments to collect or simulate data when required data is unavailable. * Ability to develop feature vectors for machine learning algorithms and identify, tune, and evaluate the most appropriate algorithms. * Machine Learning & Statistical Analysis: * Knowledge of machine learning, statistical modeling, and data wrangling. * Experience in developing, training, and validating machine learning models. * Ability to develop data-driven solutions, data models, and visualizations. * Advanced Analytics & Big Data: * Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark. * Familiarity with cloud-based distributed database technologies like Databricks and tools like PySpark. * Communication & Collaboration: * Strong ability to communicate complex models and concepts to non-technical stakeholders. * Comfortable working and collaborating in dynamic environments. Required Clearance: * Active TS/SCI clearance with a Polygraph Desired Skills: * Familiarity with relational databases (e.g., Oracle, PostgreSQL). * Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies. * Understanding of the data science lifecycle (e.g., CRISP-DM). * Some positions may desire experience in applying AI/ML techniques to solve cybersecurity challenges. * Some positions may desire experience applying data science methods to cybersecurity problems. * Some position may prefer a Security+ certification. * Capable of building models for deployment in real-time environments and supporting the cybersecurity mission space. * Strong background in developing predictive models and quantitative simulations. * Experience in consulting, including organizational and technology assessments. Work Schedule: * Ability to work on-site for 36-40 hours during a typical week. Travel: less than 10% Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Data Scientist (Level 4) Data Scientist (Level 4) Clearance Required: Active TS/SCI with Polygraph Position Type: Full-Time, Fully Funded Salary: $141,000 - $159,800 Navius Technologies is a mission-driven technology startup built by a team of high-performance professionals with decades of combined experience in the Intelligence Community, cybersecurity, and commercial sectors. We bring a rare balance of humility and leadership-knowing when to listen and when to lead. At our core, we are results-driven innovators who thrive in collaborative environments. If you're looking to contribute to national security while working on cutting-edge solutions, we want to hear from you. Position Overview Navius Technologies is seeking highly skilled Data Scientist to support mission-critical programs in Annapolis Junction, MD. This role focuses on uncovering both semantic and syntactic information within data, developing measures, and transforming manual processes into automated solutions. Overview Develop or apply best practices to discover the assess semantic and syntactic information contained in data objects supporting all aspects of the mission. Develop measures of syntactic and semantic interoperability that support governing bodies making architectural decisions Prototype and consider several algorithms and decide upon final model based on established outcomes. Generate reports that summarize analysis of data representations and data to provide data driven insights to customers Partner with subject matter experts to translate manual data analysis into automated analytics. Qualifications A bachelor's degree from an accredited college or university in Computer Science, Mathematics, or related discipline plus nine (9) years of experience in Mathematics/Statistics; Computer Science; and analysis of data syntax and semantics OR HS or GED plus ten (10) years of experience in … OR A Master's degree in ... plus six (6) .... OR A PhD in .... plus three (3) years of experience… An active TS/SCI clearance with polygraph is also required. Why Join Navius Technologies? At Navius, we're committed to delivering mission-critical solutions that matter. Our team is driven by innovation, collaboration, and a deep respect for national security. You'll work in a supportive environment where your contributions make a direct impact. Employee Benefits at Navius At Navius, we offer a comprehensive benefits package designed to support your health, financial security, time off, and professional growth: Health & Wellness: Customizable medical, dental, and vision coverage; Health Savings Account (HSA). Financial Security: Competitive salaries, 401(k) with up to 12% employer contribution, life and AD&D insurance, short- and long-term disability coverage. Time Off: Flexible time off and sick/safe leave to support work-life balance. Additional Perks: Annual technology reimbursement, training and development allowance, and a profit-sharing bonus program. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Background Information: Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview: The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: * Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability * Leverage state-of-the-art theory and technologies to solve complex problems * Establish and leverage Big Data frameworks to store, extract and analyze relevant data * Develop software solutions by understanding customer requirements and program intent * Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions * Be responsible for solutions that meet software design, quality, and performance requirements * Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: * Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred * 3+ years of experience in predictive modeling, data science and analysis Required Skills: * Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities * Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks * Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms * In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) * Strong proficiency in Python * Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. * Knowledge of data and information visualization principles and experience using related tools Preferred Skills: * Strong software engineering background * Skills with other programming languages, such as Julia, Java or C/C++ * Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations * Experience with application container platforms * Familiarity with continuous integration/delivery tools (e.g. Jenkins) * Familiarity with version control tools (e.g. Subversion, Git, etc.) * Familiarity with VMware or other virtualization software * Experience developing applications for DOD command and control systems * Familiarity with Large Language Models (LLM) and LLM parameter tuning * Familiarity with network science and graph theory Competencies: * Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive * Attention to detail * Strong sense of intellectual curiosity and desire to learn * Initiative, creativity, reliability, teamwork * Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000 * Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the "pay scale" or "pay range" associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement: IDT is an Equal Opportunity employer.

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones. Kentro is hiring a Data Scientist to support the Defense Health Agency and the Medical Logistics IT division. This role will support the MEDLOG IT PMO as it leads the charge to replace capabilities in legacy MEDLOG IT applications and fully implement LogiCole. Upon reaching full operating capability, LogiCole will roll all legacy medical logistics applications into a single, web-based application and provide an enterprise view of all logistics lines of business. This role will be a pivotal part of the implementation of LogiCole and the decommissioning of legacy applications - providing intuitive user interfaces, leveraging authoritative product and sourcing data, and fully integrating federal and industry partners. Responsibilities: Complete functional data analysis based on current business problems. Coordinate requirements/acceptance criteria with the functional community and validate that the product meets the acceptance criteria prior to accepting functionality. Within the DML-ES systems, help manage supplier and manufacturer data from multiple sources, including anticipated changes through mergers and acquisitions. Support implementation of solutions that standardize, integrate, and provide a unified view of the business entities in all contexts. Provide analysis of legacy medical logistics transactional, data and reporting capabilities. Work across value streams to lead and support project management activities in the implementation of the LogiCole application. Support various strategic and business process improvement efforts. Improve workflows to simplify user management of system generated recommendations and alerts. Make improvement recommendations in collaboration with Government Leads and Product Owners. Support MVCs throughout LogiCole implementation. Location: Hybrid - Frederick, MD. The primary work location is on-site at Fort Detrick, MD. If the candidate meets all client requirements, we may arrange for the candidate to work at other locations. Salary Range: $120,000-$135,000/annually. Factors influencing pay within this range include geography, market demand, skills, education, experience, and other qualifications of the successful candidate. Requirements 5+ years' experience in Data Science or related field Bachelor's Degree or higher in a related field or applicable experience Experience as a management consultant/business analyst supporting federal government customers Experience developing strategic communications artifacts and presentations for senior leadership within the federal government Excellent verbal and written communication skills Strong attention to detail and ability to multitask Experience using statistical methods to measure outcomes Travel may be required up to 10% based on project needs Preferred: Experience with federal supply chain, policies, processes, and data DoD experience and/or familiarity strongly preferred Clearance: Must be able to obtain and maintain a Public Trust clearance Must be a U.S. citizen Must meet updated ID requirements: ******************************************************************************************************************************************************** If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. Benefits The Company We believe in generating success collaboratively, enabling long-term mission success, and building trust for the next challenge. With you as our partner, let's solve challenges, think innovatively, and maximize impact. As a valued member of our team, you have the unique opportunity to work in a diverse range of technology and business career paths, all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork, dedication, and excellence. We hold three ISO certifications (27001:2013, 20000-1:2011, 9001:2015) and two CMMI ML 3 ratings (DEV and SVC). Industry Recognition Growth | Inc 5000's Fastest Growing Private Companies, DC Metro List Fastest Growing; Washington Business Journal: Fastest Growing Companies, Top Performing Small Technology Companies in Greater D.C. Culture | Northern Virginia Technology Council Tech 100 Honoree; Virginia Best Place to Work; Washington Business Journal: Best Places to Work, Corporate Diversity Index Winner - Mid-Size Companies, Companies Owned by People of Color; Department of Labor's HireVets for our work helping veterans transition; SECAF Award of Excellence finalist; Victory Military Friendly Brand; Virginia Values Veterans (V3); Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees - Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard; we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities - virtual and in-person - e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations. In alignment with our commitment to our communities, we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative, innovative, and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal, state, and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts, Kentro has established an equal opportunity plan outlining our commitment to recruiting, hiring, and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees, including protected veterans, are treated with dignity, respect, and fairness. How to Apply To apply to Kentro Positions- Please click on the: “Apply for this Job” button at the bottom of this Job Description or the button at the top: “Application.” Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods, please email ***************** and request assistance. Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations, please email *****************. #LI-SB2

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Job Description Location: McLean, VA 22102 Duration: 6+ months (could go beyond) Description: • The candidate for this position will provide analytical support to the Data Science Division in the Cyber, Cloud and Data Science Service line. • The successful candidate will support the enterprise through designing solutions for data collection, preparation, and model building to develop end-to-end analytic lifecycles to synthesize actionable information. • The candidate will determine appropriate tools and methods for specific projects to design the analytics solution either as a standalone system, or an analytics embedded inside and overall solution. • The candidate will be working in teams that include enterprise architects, intelligence analysts, data and visualization experts, software developers, and system engineers, and will have an excellent opportunity to broaden skills. • The candidate must have experience in developing and deploying solutions for customers. Applicant must have skills applicable to one or more of the following areas: • Data wrangling, cleansing, and analytics • The data science process • Presenting work to both technical and non-technical audiences • Statistical evaluation • Machine Learning, Predictive Modeling Qualifications Applicant should have skills in one or more of the following areas: • Machine Learning Technologies, such as Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • R libraries: base, MASS, plyr, rpart, random Forest, maps/mapproj/rworldmap, zoo, adabag, animation, ggplot, igraph, jsonlite, mclust, pROC, hexbin • Python libraries: numpy, scipy, matplotlib, scikit-learn,etc • SPSS, Oracle Data Miner, SAS Base, DataMiner, Dataflux, STAT • Entity Resolution - Basis Technology Rosette Name Indexer (RNI), Global Name Recognition (GNR), Probabilistic Matching Engine, Trillium Software (TS) Quality • Apache Hadoop 2.x, MapReduce, Elastic Search 1.4.x, Sqoop, Pig • Familiar with Libraries: such as ATS SSO, ATS-common framework, Highchart, jersey, jtidy, one2team, iText, Spring/Spring STS, JSON, Network Markov Clustering, Topic Modeling Tool, Naïve Bayes, Apache Commons, Google's Guava, Apache Log4j, Open CSV, SecondString • Working in interdisciplinary teams. Additional Information To discuss on this in more detail, Please contact: Himanshu Prajapat ********************************** ************

**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 principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. + Use of normalization, mean-centering, and cross-validation strategies 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. + Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. + Build, validate, and implement life-cycle assessment models and tools for current and future applications. + Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. + Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. + Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. + Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. + In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. + Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. + Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals + 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 seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. + Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. + Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). + Strong analytical reasoning, critical thinking, and troubleshooting ability. + High attention to detail and integrity. + Demonstrates 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, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. + Working knowledge of manufacturing in the pharmaceutical industry. + Familiarity with the applying data science to climate risk or other environmental domains. + Experience executing on contract work. **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

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 principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. Use of normalization, mean-centering, and cross-validation strategies 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. Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. Build, validate, and implement life-cycle assessment models and tools for current and future applications. Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals 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 seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). Strong analytical reasoning, critical thinking, and troubleshooting ability. High attention to detail and integrity. Demonstrates 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, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. Working knowledge of manufacturing in the pharmaceutical industry. Familiarity with the applying data science to climate risk or other environmental domains. Experience executing on contract work. 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.

DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email.

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. ************************************************************************** Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., 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, 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). 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. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. 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. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, 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 Agency 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. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA• Dental insurance with 100% employer paid premium• Vision with 80% employer paid premium• Employer paid Life insurance 100%• Employer paid Short-term and Long-term disability 100%• Annual training, continued education, and professional memberships reimbursement• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation• Annual reimbursement for technology i.e. phones, computers, printers, etc...• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii.• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers• Leadership Team engagement and mentorship• Performance Recognition Program• Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email *********************** for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action 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 CTI's equal employment opportunity policy to *****************.

We are seeking an experienced Data Scientist to join our team supporting U.S. Citizenship and Immigration Services operations. In this role, you will lead the design, development, and implementation of advanced predictive and time series forecasting models to inform operational decision-making. You will work with large-scale structured and unstructured datasets in SQL, Python, and Databricks, and deliver impactful insights through advanced analytics and compelling visualizations in Tableau or Power BI. The ideal candidate is proactive, innovative, and thrives in complex analytical environments. You bring deep expertise in forecasting, applied statistics, and machine learning, with the ability to translate technical findings into actionable recommendations for leadership. This is a remote/telework position, though full-day attendance at the client location in Camp Springs, MD may be required a few times a month. Local candidates strongly preferred. Primary Responsibilities Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges. Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment. Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results. Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders. Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends. Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner. Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team. Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling. Minimum Requirements Bachelor's degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field (Master's degree strongly preferred). 5+ years of professional experience in data science or advanced analytics, with proven expertise in statistical modeling and forecasting. Advanced proficiency in SQL and Python, with hands-on experience building and deploying time series and forecasting models (e.g., ARIMA, SARIMAX, Prophet, machine learning-based forecasting methods). Experience with cloud-based platforms such as Databricks, Spark, or similar distributed data environments. Strong data visualization skills with Tableau, Power BI, or equivalent. Demonstrated ability to clean, manage, and optimize large, complex datasets. Strong communication skills with the ability to present technical findings to non-technical stakeholders. Must be a U.S. Citizen and able to obtain and maintain a Public Trust clearance. Preferred Qualifications Graduate degree in Data Science, Statistics, or related field. Experience applying forecasting and predictive analytics in federal government or immigration-related domains. Familiarity with operational research methods, simulation modeling, or optimization. Prior experience supporting USCIS or other DHS agencies. About Analytica Analytica has been recognized by Inc. Magazine for 3 consecutive years as one of the 250 fastest growing businesses. We offer competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and a 401k match. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Job Description We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

FRDA is looking for a skilled CNO Developer/Data Scientist who will participate in security research, design, development, verification, and deployment of complex new software in support of new and existing requirements. The role includes a mix of vulnerability research and development of cyber capabilities involving desktop and mobile platforms. You will support a variety of short-range and medium-range customer operations requiring custom solutions. Your engineering experience and skills from the following areas will be applied to meet requirements: Vulnerability Research, Reverse Engineering, Networking, Virtualization, Firmware, and/or C, as well as data science, large language model training, and experience in C programming for high-performance systems. Minimum Basic Requirements for Skills, Experience, Education, and Credentials: * 5+ years of professional software development experience * Demonstrated experience in writing software in: Python, C, C++, or similar languages * Demonstrated experience in reverse engineering, vulnerability research, and exploitation * Development experience in one or more of the following platforms: Linux, Windows, iOS, Android * Proven experience in data science techniques, including data collection, analysis, and modeling * Experience in developing and optimizing large language models (LLMs) for security-related tasks and applications * Hands-on experience in C development for system-level or performance-critical applications * Related BA/BS degree from an accreditted college or university or five years of additional related work experience * US Citizenship and an active TS/SCI with Polygraph security clearance required Preferred Qualifications include: * Demonstrated in-depth understanding of low-level development at the OS level is preferred * MA/MS Degree in related technical field is preferred * Kernel experience * RE experience with Ghidra, IDA Pro, BNinja * VR/RE/exploit experience as it pertains to the Linux Kernel or Android OS/Kernel * Experience with machine learning, particularly in training and deploying large language models for cybersecurity use cases * Familiarity with data science libraries (e.g., TensorFlow, PyTorch) and tools for processing large datasets in security contexts Reasonable Accommodations: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. FRDA, LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, FRDA will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, employees and applicants should contact Human Resources. FRDA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, train, compensate, discharge or any other term or condition of employment, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

FRDA is looking for a skilled CNO Developer/Data Scientist who will participate in security research, design, development, verification, and deployment of complex new software in support of new and existing requirements. The role includes a mix of vulnerability research and development of cyber capabilities involving desktop and mobile platforms. You will support a variety of short-range and medium-range customer operations requiring custom solutions. Your engineering experience and skills from the following areas will be applied to meet requirements: Vulnerability Research, Reverse Engineering, Networking, Virtualization, Firmware, and/or C, as well as data science, large language model training, and experience in C programming for high-performance systems. Minimum Basic Requirements for Skills, Experience, Education, and Credentials: 5+ years of professional software development experience Demonstrated experience in writing software in: Python, C, C++, or similar languages Demonstrated experience in reverse engineering, vulnerability research, and exploitation Development experience in one or more of the following platforms: Linux, Windows, iOS, Android Proven experience in data science techniques, including data collection, analysis, and modeling Experience in developing and optimizing large language models (LLMs) for security-related tasks and applications Hands-on experience in C development for system-level or performance-critical applications Related BA/BS degree from an accreditted college or university or five years of additional related work experience US Citizenship and an active TS/SCI with Polygraph security clearance required Preferred Qualifications include: Demonstrated in-depth understanding of low-level development at the OS level is preferred MA/MS Degree in related technical field is preferred Kernel experience RE experience with Ghidra, IDA Pro, BNinja VR/RE/exploit experience as it pertains to the Linux Kernel or Android OS/Kernel Experience with machine learning, particularly in training and deploying large language models for cybersecurity use cases Familiarity with data science libraries (e.g., TensorFlow, PyTorch) and tools for processing large datasets in security contexts Reasonable Accommodations: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. FRDA, LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, FRDA will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, employees and applicants should contact Human Resources. FRDA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, train, compensate, discharge or any other term or condition of employment, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionDescription: Do you want to be at the forefront of AI drug discovery and advance the next generation of lifesaving medicine? Now's your opportunity! BullFrog AI, a technology-enabled drug discovery company, uses AI to aid in advancing the next generation of lifesaving medicine. We are at the intersection of computational biology and Artificial Intelligence, and we're seeking an exceptional Senior Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. Position Overview: We are looking for an exceptional Principal Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. In this role, the senior data scientist will support individual projects from an execution and leadership perspective. The day-to-day work will be client-dependent with flavors of target discovery, patient subtyping, and exploring multimodal and/or mixed data to gain insights. Additionally, they will build and provide technical contributions to the company's in-house platform. Location: Remote within the United States. The senior data scientist will also: Design, implement, and optimize AI models using diverse healthcare data. Engage in multi-modal genomic analyses such as RNA-Seq differential expression, clustering, and GWAS. Implement NLP solutions tailored to life sciences datasets. Collaborate effectively with remote teams to ensure seamless communication and delivery. Educate and present complex data science findings to non-technical stakeholders, ensuring clarity and actionable insights. Requirements: Education: Bachelor's degree from a top-ranking university in the United States or the United Kingdom. An advanced degree (MS or PhD) in a quantitative field such as biology, computer science, or engineering, from a top-ranking university in the United States or the United Kingdom. Professional Experience: A minimum of 5-8 years of post-graduate experience in life sciences analytics, e.g., in Pharma, Biotech, or Consulting. Experience with major healthcare data types, including -omics (required), claims data, and clinical data (e.g., EHR). At least 1 year of experience working with large language models. A maximum of 8-10 years of post-PhD experience. Demonstrated coding proficiency in Python. Proven track record of collaborating with remote teams. Proficient and fluent in the English language. Other: Must be legally authorized to work in the United States and be a United States citizen. Desired Skills: Prior experience in multi-modal analysis with deep learning. Causal inference experience is a significant plus. NLP/LLM expertise applied to life sciences and healthcare text. Strong foundation in data engineering and databases. Experience with graphs, including feature engineering, machine learning, and visualizations. Cloud platform experience, particularly AWS or Google Cloud. Demonstrated ability to deliver complex data science outputs to senior leadership. Benefits: 15 days of paid time off annually 11 paid holidays annually Medical, Dental, and vision coverage with eligibility on the first day of employment Short-Term Disability 401 (k) with enrollment upon day one Eligibility for bonus and stock options based on a combination of individual and company performance.

Since 2006, MAXISIQ (IOMAXIS dba MAXISIQ) has advanced the state of Cyber RDT&E by bringing together industry expertise in software, hardware, communications and security, and leveraging decades of operational experience to deliver exceptional value to communities and the critical missions they support. Join us where we innovate, develop smarter solutions, technologies, services, and actionable capabilities for our clients- right when they need it most. Job Description MAXISIQ is seeking a Data Scientist to support customer data collection and collection gaps, and help prioritize ingestion of new data in a fast-paced, high visibility environment. This is a full-time position in McLean, VA, and available now. Qualifications Clearance: Candidate must possess an active TS/SCI clearance with Full Scope Polygraph in order to be considered. Skills and Qualifications: Experience with data management applications, including: * Relational databases * Transactional databases * NoSQL unstructured databases * Experience handling index(es) and indexing applications, relational, NoSQL * Programming in various Shell scripting, BASH, KSH * Experience with Regular Expressions * Linux or equivalent development skills, particularly scripting controls * Experience with other interpretive language tools, Ruby, Rails * Cloud experience with parallel processing and constructive equivalents * UI knowledge and skills * AI knowledge and skills * Extended experience with ICQL and the involved structure of its usage * Statistical skills * Experience with customer reporting and reporting document structures Optional Skills: * Demonstrated recent experience with the data holdings and formats for the customer's enterprise search and discovery applications. * Demonstrated experience with the customer's search and discovery applications and analytic workflow processes. * Experience working in an Agile environment Additional Information #CJ We are an Equal Opportunity Employer that considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other protected class.