Senior data scientist jobs in Towson, MD - 608 jobs

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

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

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

Clearance Required: Active Secret Position Type: Full-Time Salary: $140,000-$160000 We are seeking a highly skilled Senior Data Scientist to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, SQL, AI/ML frameworks, and RPA tools is required. Primary Responsibilities: Provide technical leadership on enterprise analytics and AI/ML solutions. Design, develop, and deploy machine learning models and predictive analytics. Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping. Collaborate with Data Engineers to integrate models into scalable data pipelines. Support data governance activities including tagging, metadata management, and secure sharing. Develop RPA solutions to automate business processes. Evaluate and recommend analytics products to ensure mission alignment. Communicate findings through dashboards, data visualizations, and technical reports. Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field. 7+ years of professional experience in data science, AI/ML, and advanced analytics. Strong proficiency with Python (at least 2-3 years) Strong proficiency with SQL (at least 2-3 years) Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation). Excellent communication, documentation, and stakeholder engagement skills. Preferred Qualifications: Experience supporting federal or regulated environments. Knowledge of MLOps practices for deploying and managing ML models at scale. Knowledge of Anaconda and Jupyter notebooks. Familiarity with Databricks and Apache Spark. Background in data governance and enterprise metadata management. Eligibility: Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Active Secret clearance required for this role. Benefits Salary: $140,000-$160,000 Washington, DC (Hybrid, Once a week) Benefits include Health, Vision, and Dental Insurance, and PTO.

Why Join CINQCARE? CINQCARE is a provider-led, community-based health and care partner dedicated to improving the health and well-being of those who need care the most, with a deep commitment to high-needs, urban and rural communities. Our local physicians, nurses, and caregivers work together to serve people and the communities they live in, beyond just treating symptoms. We remove barriers by delivering personalized care as close to home as possible, often in-home, because we know a deep understanding of our patient's race, culture, and environment is critical to delivering improved health outcomes. By empowering patients, providers, and caregivers with the support they need, we strive to make health and care a reality-not a burden-every single day. Join us in creating a better way to care. Position Overview CINQCARE is redefining how health and care are delivered, starting where trust begins: the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE's personalized care programs and outreach. This role blends technical expertise with strategic impact - developing predictive models, managing full model lifecycles, and translating data into actionable insights that guide engagement, care delivery, and organizational decision-making. The Senior Healthcare Data Scientist will also drive innovation by testing emerging techniques and ensuring all solutions meet CINQCARE's standards for equity, fairness, and health impact. Key Responsibilities Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom). Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement. Manage the full model lifecycle - from development through deployment, monitoring, retraining, and drift detection - ensuring production reliability. Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy. Use What-If scenario modeling and simulations to support clinical and business decision-making. Integrate engagement data into continuous feedback loops that refine model performance and responsiveness. Translate complex analyses into clear, compelling stories and insights for clinicians, engagement teams, executives, and community leaders. Develop dashboards, reports, and self-service analytics tools for use across CINQCARE teams. Partner with engineering teams for scalable deployment using modern MLOps practices. Collaborate cross-functionally with clinicians, engagement specialists, and leadership to ensure data science aligns with CINQCARE's purpose and performance priorities. Research, test, and apply emerging methods (e.g., generative AI, causal inference, federated learning) relevant to community-based care and health equity. Required Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor's with significant applied experience considered. Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health. Demonstrated ability to design, deploy, and manage predictive models in production. Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with NLP, time series modeling, and advanced MLOps practices. Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash). Exceptional communication and data storytelling skills for technical and non-technical stakeholders. Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams. Our Benefits At CINQCARE, we care for our team like we care for our patients-holistically. We offer flexible, comprehensive benefits so you can thrive while delivering top-notch care. Medical Plans: Two comprehensive options offered to Team members. 401K: 4% employer match for your future. Dental & Vision: Flexible plans with in-network savings. Paid Time Off: Generous PTO, holidays, and wellness time. Extras: Pet insurance, commuter benefits, mileage reimbursement, CME for providers, and company-provided phones for field staff. The working environment and physical requirements of the job include: In-office work is performed indoors in a traditional office setting with conditioned air, artificial light, and an open workspace. In this position you will need an to communicate with customers, vendors, management, and other co-workers in person and over devices, sometimes with people who are agitated. Regular use of the telephone and e-mail for communication is essential. Sitting for extended periods is common. Must be able to receive ordinary information and to prepare or inspect documents. Lifting of up to 10 lbs. occasionally may be required. Good manual dexterity for the use of common office equipment such as computer terminals, calculator, copiers, and FAX machines. Good reasoning ability is important. Able to understand and utilize management reports, memos, and other documents to conduct business. Equal Opportunity & Reasonable Accommodation Statement CINQCARE is an Equal Opportunity Employer committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. If you require a reasonable accommodation during the application or employment process, please indicate this in your application or speak with your recruiter during the hiring process. Disclaimer This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary.

Job Description Apogee Solutions is seeking a Senior Data Scientist to support the United States Air Force's Deputy Chief of Staff for Training and Readiness at the Pentagon. Qualified candidates must have a Top Secret clearance. The Senior Data Scientist will serve as the Team Lead and Project Manager and is responsible for directing, assigning, and supervising readiness and data analytic projects. The Training and Readiness Directorate is the Air Staff's focal point to assist, orchestrate, and implement readiness analysis actions for current and future operations across the Air Force, to include weapons system sustainment, operational training infrastructure, critical skills personnel shortages, flying hour analysis, and deployment ratios. The Senior Data Scientist will: Serve as the Project Manager, responsible for workload distribution and contract deliverables. Serve as the direct supervisor for the entire team, responsible for hiring and personnel management. Direct team to modify, update, and use appropriate models, computer programs, databases, or similar tools based on the direction of the Government. Provide support and operationalize a fully functional responsive model consistent with changing conditions, readiness reporting, forecasting requirements, and data analytics. Conduct detailed research and analyses to assist in development and support of implementation plans, executive reports, and existing reports and projects. Identify change management initiatives for readiness projects and incorporate into a plan of action to research, address, and document root causes for not meeting Air Force readiness requirements. Serve as the Air Force Readiness Division's representative at predictive analytics and operations research community professional conferences, cross-talks, seminars, and other professional events. Interact with academic and analytic organizations to keep current with latest trends and techniques in the industry. Assist in force structure assessments, joint and regional issues, congressional matters and hearing questions for record, and senior leader congressional correspondences. Provide technical and analytical support capable of addressing routine and complex readiness reporting and prediction questions using agile predictive readiness modeling and simulation tools as well as predictive readiness analysis methodologies. Assist with providing briefings, conferences, and demonstrations on the Readiness Analysis and Decision Support Enterprise, to include DRRS readiness reporting analysis of Air Force units, key personnel, force structure, funding/ resourcing, logistics/maintenance/sustainment, equipment, training, and operational interactions in the context Coordinate and communicate forecasting readiness assignments and suspense actions to applicable staff functions, tracks actions, and assist in crafting or completing the staff products. Monitor staff actions and other readiness requirements, including requests from Major Commands (MAJCOMs), the Air Staff including the SecAF, the JS, and the OSD. Updates five-year readiness level projections for Air Force units regularly, including force structure, end strength/personnel/manning, active/ reserve mix, training resources, support/sustainment resourcing, operations resources, force presentation/management. Conducts analysis of Aircraft Availability calculations for MAJCOMs and all MDSs in the Air Force inventory Conducts analysis to support policy and funding changes to the Air Force Flying Hour Program. Delivers briefings and papers explaining the impacts to AF readiness if various courses of action are pursued in terms of funding levels for all required aircraft Mission Design Series (MDS). Prepares draft bi-monthly Congressional testimony, written statements, and recommended questions for record. Incorporate the Space, Cyber, and ISR readiness analyses improvements into the overall adaptable predictive system of tools, techniques, and procedures. Provide technical insights and assist to resolve problems and issues involving the modification of mathematical models and computer programs to evaluate and predict the ability to support assigned missions. Required Experience Active DOD Top Secret Clearance PhD in modeling and simulation, operations research, or other related field is highly desired; Master's Degree in similar discipline combined with additional experience may also be accepted Minimum of 15 years of combined experience to include readiness analysis at the tactical, operational, and strategic levels as well as prior military staff experience Minimum of 10 years of experience in predictive analysis including corporate processes to operational readiness Minimum of 5 years of experience leading analytics teams and Air Force operations teams Extensive knowledge of Air Force Operations to include 5 years of experience in supporting Air Staff or an equivalent strategic level Active profile through published papers, conference attendance, or serving on advisory panels Understanding of DRRS, readiness authoritative data systems, and related readiness systems Prior work experience using data gathering and modeling methodology to include fuzzy set theory, neural networks, multi-attribute decision support methods, and statistical or mathematical problem solving Capable of explaining and defending Air Force readiness analytic models, conclusions, projections, and data during annual audits

General Information Job Code: SHR-DM-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about turning complex data into actionable insights? As a Health Data Scientist focused on AI & Clinical Data supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. Successful candidates will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will ensure that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use so that technical progress translates into meaningful clinical insight and patient impact. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. Requirements Minimum Education and Experience: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 7+ years of relevant professional experience with 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Basic Requirements: Hands-on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high-quality technical materials. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA-style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast-paced, multi-stakeholder, or early-stage environments. About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Columbia Group (TCG), is a technical services support company which has a successful 50+ year history of providing the United States government with financial management support services, information technology, program management, acquisition, logistics management, engineering, and design. As a full-time employee of TCG, you will receive a comprehensive benefits package to include a quality health insurance program (medical, drug, vision and dental) for you and your family, group life insurance, group short and long-term disability insurance, a 401K profit sharing retirement plan, and professional development opportunities. You will accrue 'Paid Time Off' (PTO) to be used towards vacation or sick leave, in addition to receiving eleven (11) paid federal holidays. We are seeking Junior to Senior Level Data Scientists to join our team in locations such as: Washington, DC Metropolitan and San Diego, CA. Upon award, the ideal candidate will: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. They may also perform the following duties: Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Create dynamic data reports.

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

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

Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood-by analysts and business leaders alike. Our AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that's easily integrated into the flow of work. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022! Our fast-growing team is looking for a skilled, motivated and reliable Data Scientist TS/SCI to help grow our company. What you'll do Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers. Work with customer data and own the development of an AI solution from ideation to production Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Your qualifications Must have an active TS/SCI security clearance and be willing to work from an SCIF. Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs. Regular travel anticipated to client sites/military bases. Degree in Computer Science. 3+ years of experience writing production-ready code in Python. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc. 1 year of experience deploying a machine learning model in a production environment. 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.). 3 years of experience with Git (or an alternative version control tool). 1 year of Experience with Docker and/or Kubernetes. A strong sense of ownership and accountability. Excellent written and verbal communication skills in English Pluses Demonstrated experience in leading the development efforts for a project from a SCIF. Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka. 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal. What We Offer You We are a team of ambitious individuals who are passionate about creating a revolutionary software company. At Virtualitics, you will have a significant career development opportunity and a chance to contribute to one of the fastest-growing startups in Southern California. Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO. Virtualitics is committed to building a company where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where talented people of all cultures, ages, perspectives, opinions, education, backgrounds, races, gender identity, religions, orientations, abilities, and beliefs can grow and thrive with Virtualitics.

The World Justice Project (WJP) is seeking a full-time Senior Data Scientist - Consultant to support its Data Analytics Unit. This position will contribute to WJP's global research on rule of law issues by supporting data analysis and report production processes. The role involves designing and implementing machine learning models, developing AI agents, and working with large language models (LLMs) to support a range of research projects. WJP's global research and data team is based in Washington, DC, and this position will be remote. About the World Justice Project The World Justice Project (WJP) was launched in 2009 to promote justice and the rule of law globally. It is best known for its Rule of Law Index, the world's leading source on the performance of 143 countries in relation to absence of corruption, open government, civil and criminal justice, fundamental rights, and other rule of law standards. Drawing on the Index methodology, WJP also undertakes in-depth studies on particularly countries and topics, such as access to justice, criminal justice, environmental governance, and corruption. WJP puts this data and research into action to strengthen the rule of law through convening, engagement, and support of a global network-including through the biennial World Justice Forum and World Justice Challenge. At a time when the rule of law is facing fundamental challenges throughout the world, WJP's mission to strengthen respect for justice, peace, and fundamental rights is more pressing than ever. For more information, please visit worldjusticeproject.org. Responsibilities Design and implement machine learning models and statistical analyses to support WJP research initiatives Lead technical infrastructure modernization including containerization and cloud deployment strategies Develop and maintain agentic AI systems and LLM-powered tools for data analysis workflows Provide technical mentorship to other team members on advanced analytics techniques Collaborate with research teams to translate complex data questions into analytical solutions Qualifications Technical Skills Advanced proficiency in Python and R for statistical analysis and machine learning Experience with LLMOps and deployment of large language model applications SQL for database management and complex queries (bonus) Git/GitHub for version control and collaborative development Docker and containerization technologies Understanding of cloud computing concepts (AWS, Azure, or GCP) Basic HTML/CSS for report customization Understanding of RESTful APIs and web scraping techniques Preferred Qualifications Strong experience with scikit-learn and other ML frameworks Knowledge of agentic systems and AI workflow automation Strong statistical background including dimensionality reduction techniques (PCA, factor analysis, MDS, t-SNE) Expertise in data imputation methods and handling missing data Experience with latent variable modeling (SEM, IRT, mixture models) Master's degree or PhD in Computer Science, Statistics, Data Science, or related field How to Apply To apply for this position, please visit our employment portal: ************************************************************ The following materials are required for this position: Resume Writing sample. It can be in Spanish or English. Contact information for three professional references Please submit all application materials in one PDF document. Applications will be reviewed on a rolling basis. Due to the high volume of applications received, we are only able to follow up directly with candidates selected for interviews. No phone calls please.

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

A global consultancy firm is seeking a motivated Senior Manager in Data Architecture to drive transformative technology projects in the Power & Utilities sector. The ideal candidate will have over 12 years of experience in consulting, a robust background in data architecture, and strong skills in AI applications. This role involves leading teams, managing complex projects, and fostering client relationships while leveraging advanced technology to solve critical business challenges. An excellent opportunity for career growth awaits. #J-18808-Ljbffr

Job Description General Information Job Code: SHR-DM-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about turning complex data into actionable insights? As a Health Data Scientist focused on AI & Clinical Data supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. Successful candidates will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will ensure that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use so that technical progress translates into meaningful clinical insight and patient impact. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. Requirements Minimum Education and Experience: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 7+ years of relevant professional experience with 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Basic Requirements: Hands-on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high-quality technical materials. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA-style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast-paced, multi-stakeholder, or early-stage environments. About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

Job Description Apogee Solutions is seeking a Data Scientist to support the United States Air Force's Deputy Chief of Staff for Training and Readiness at the Pentagon. Qualified candidates must have a Top Secret clearance. The Data Scientist will assist the Senior Data Scientist in all aspects and is the Assistant Team Lead. The Training and Readiness Directorate is the Air Staff's focal point to assist, orchestrate, and implement readiness analysis actions for current and future operations across the Air Force, to include weapons system sustainment, operational training infrastructure, critical skills personnel shortages, flying hour analysis, and deployment ratios. The Data Scientist will: Explain and defend AF readiness analytic models, conclusions, projections, and data during annual audits from OSD Capabilities (CAPE), Government Accounting Office, and Office of Management and Budget (OMB). Assist by directing team to modify, update, and use appropriate model, computer program, database, or similar tool, to include Government-owned models and tools; commercial analytic tools; and Microsoft office and other graphic and presentation programs. Assist in updating products determined by Government lead, to include senior leader guidance, budgetary, strategy, policy or other variable changes, as required. Assist the Senior Data Scientist by representing AF Readiness Division and team's predictive analytics to peer, military, Op Research community professional conferences, cross-talks, seminars and other events. Interacts with academic and analytic organizations (military and civilian) such as universities RAND, and IDA to keep current with the latest trends and techniques in the analytic industry. Provide expertise on use and implementation of an agile model and analytical software. Demonstrate proficiency in adaptation, verification, validation, and accreditation of core readiness. Maintain and improve emerging technologies and respective databases to provide adaptive predictive readiness and readiness reporting analysis that enables data exchange automation with authoritative data sources. Maintain a configuration management plan and system documentation activity. Maintain document change proposals and emerging requirements. Maintain and update the current model and database sustained with required authoritative databases, as appropriate. Update and maintain requirements document based on current and future format and standards with each module's current and future capability. Provide software management to update and maintain adaptability to emerging requirements. Monitor the state of the authoritative databases used to incorporate DRRS lexicon and associated predictive analysis relevant data environments. Review, update, and provide the necessary self-paced guides and user manuals for system users to operate the system. Maintain and provide comprehensive support to a predictive readiness system users/user group. Maintain and provide support to increase predictive capability breadth and depth expanding tools, techniques, and expertise to fielded systems and/or systems matured in operational concept during this period. Maintain and provide dedicated effort to refinement and enhancements of the model/tool with focus on impacts resulting from resourcing and policy decisions under consideration in the flying hours, operational training, aircraft availability and weapons system sustainment trade space, comparing to and aligning with real world collected data. Maintain and update a predictive modeling approach with the necessary breadth and depth to analyze Combat Air Force (CAF), Mobility Air Force (MAF), Intelligence Surveillance and Reconnaissance (ISR), Special Operations (SOF), Personnel Recovery (PR), Command and Control (C2), Remotely Piloted Aircraft (RPA), Space, Cyberspace, and any other force elements. Recommends, identifies, and selects appropriate model, computer program, database, or similar tool to employ in order to answer questions characterized by variable which are multidisciplinary, cross-domain, complex, non-linear, and ever- changing. Provide means and methods to generate legitimate representations of the readiness phenomena in environments characterized by ambiguous and incomplete data. Identifies the role of non-linear influences and to adequately consider interdependency and co-dependency within the variable sets. Addresses feedback loops and the influences they have on the generation of vicious and virtuous cycles. Required Experience Active DOD Top Secret Clearance Masters in modeling and simulation, operations research, or an equivalent mix of analysis experience combined with an advanced academic degree Minimum of 10 years of combined experience to include analysis and military service at the tactical, operational, and strategic levels Minimum of 5 years of experience in the analysis of operational readiness matters including relating corporate processes to operational readiness outcomings Minimum of 5 years of experience leading analytics teams and Air Force operations teams Minimum of 5 years of experience in USAF operations units (squadron, group, wing) including aircraft, space, nuclear, cyber, C5ISR missions; experience will include training, operations scheduler, instructor/evaluator positions Minimum 3 years of experience on or supporting the Air Staff or an equivalent strategic level staff Experience in joint, combined, inter-agency positions such as operations, strategy, planning, policy, exercises, and international security cooperation/partnership Ability to direct team members in modifying, updating, and using computer generated models Capable of explaining and defending Air Force readiness analytic models, conclusions, projections, and data during annual audits An active profile in the field publishing papers, attending conferences, and serving on advisory panels in the interest of AF readiness is desired

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

Clearance Level: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg is seeking a Data Scientist who can turn structure and unstructured data sets into useful information to solve challenges. You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems. Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML. Basic Qualifications: 2+ years of experience with one or more of following programming languages: Python, Java, or SQL Experience with designing and executing machine learning models and applications Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement Advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization Knowledge of Data Science Libraries (e.g. SparkML, Tensorflow, Sci-Kit Learn) Knowledge of applying time-series / regression analysis, clustering-methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems Experience cleaning data for data science applications Preferred Qualifications: Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Experience with business intelligence tools like Tableau Experience with data lakes/warehouses Experience with cloud services, including AWS, Azure, or Google Cloud Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models Possession of excellent verbal and written communication skills A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.