Senior data scientist jobs in District of Columbia - 299 jobs

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

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 ID 2025-12923 # of Openings 3 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining enterprise database systems in support of various government and defense projects. This role involves implementing ETL processes, managing low latency application databases, and ensuring database performance and availability. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Oversee data architecture for large-scale APIs and web application back-end data stores. Implement ETL processes to supply application data for usage in web applications. Manage critical low latency application databases on various platforms. Develop and maintain packages, scripts, and reusable components for system enhancements and interfaces. Develop scripts to validate various data on systems and improve database performance. Troubleshoot and correct code problems identified during ETL and refresh processes. Develop, implement, and execute quality assurance programs and quality control standards. Establish database backup/recovery strategy and implement automation of DBA utility functions. Document database design, data definition language, and data migration strategy. Engineer extensive database solutions and interfaces for enhanced data requests performance. Qualifications Minimum Qualifications: 5+ years of experience designing, developing, and maintaining enterprise database systems. Strong understanding of SQL (MariaDB/MySQL, Postgres, MS SQL, or Oracle). Demonstrated experience with ETL pipeline design and implementation using third-party vendor solutions (NNCompass, Pentaho) or developing custom solutions. Experience with cloud database development and implementation (AWS preferred). Robust understanding of data migration procedures for backup, restore, as well as schema migration. Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred but not mandatory. Ability to obtain and maintain a security clearance (Confidential/NAC required). Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. The salary range for this position is - $148,776-$207,000 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Who We Are: ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing clients tailored solutions in Program & Project Management, Strategic Planning, and IT Services. Position Description: ThinkTek is seeking a Data Engineer with strong expertise in Microsoft Azure and experience integrating with ServiceNow (SNOW) platforms to support a Human Capital Management (HCM) modernization program for a large Federal agency. The selected candidate will provide technical leadership in designing secure, scalable data solutions that enhance interoperability between Azure-based systems, HCM platforms, and ServiceNow applications. The ideal candidate will have deep hands-on experience in Azure Data Factory, Azure Synapse Analytics, Power BI, and SQL Server, combined with a working knowledge of ServiceNow data structures, CMDB, and API integrations. Responsibilities: Lead the design and implementation of enterprise data architecture to support Human Capital Management and related business systems. Develop and maintain scalable data models, data warehouses, and migration strategies within the Microsoft Azure environment. Architect and manage Azure SQL Database, Azure Data Lake, and Synapse pipelines to enable secure data flow across HCM and ServiceNow platforms. Integrate data between Azure and ServiceNow, leveraging APIs, MID Servers, and RESTful web services. Collaborate with HR, IT, and ServiceNow platform teams to define and implement data standards, mappings, and transformation logic. Establish and monitor data governance, quality assurance, and compliance processes aligned with federal cybersecurity and privacy mandates (e.g., FISMA, FedRAMP). Develop advanced analytics and reporting solutions using Power BI and Azure Analysis Services to support workforce planning, performance insights, and executive dashboards. Serve as a technical advisor to ensure data architecture aligns with business goals, modernization priorities, and cloud best practices. Required Qualifications: Active Secret Clearance. Bachelor's Degree or higher. 5+ years of experience leading enterprise data architecture, modeling, and migration efforts. 5+ years of hands-on experience with Azure SQL, Azure Data Factory, Azure Synapse, and Power BI. Experience with ServiceNow data models, integrations, and CMDB architecture. Strong SQL and database design proficiency, including stored procedures, APIs, and ETL workflows. Experience supporting or integrating Human Capital Management or ERP systems (e.g., Oracle HCM, Workday, PeopleSoft, or SAP SuccessFactors). Knowledge of federal data privacy, security, and compliance frameworks (FISMA, FedRAMP, NIST). Preferred: Azure Solutions Architect, Azure Data Engineer, or ServiceNow Integration Specialist certification. Why ThinkTek: ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making employment 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.We offer comprehensive benefits including medical, dental, and vision insurance for full-time employees, generous PTO, and a variety of paid leave options. Learn more about ThinkTek careers and benefits at ****************************

With over 5 million members, Working America mobilizes working people who don?t have the benefit of a union at work to fight for good jobs and a fair economy. As the community affiliate of the AFL-CIO, we unite working people in urban and suburban communities around a shared economic agenda. The Associate Data Engineer will support Working America's data integration work, including troubleshooting data issues, supporting interface data flows, and contributing to data validation and transformation efforts. Under the direction of the Manager of Data and Cloud services, they will assist in documenting data structures, supporting audit readiness, and ensuring compliance with data governance standards. This is a fixed-term position through Dec. 18, 2026. Reports to: IT Manager of Data & Cloud Services Duties and Responsibilities ? Support the design, development, and maintenance of data pipelines and database systems. ? Manage data quality, supporting data integration across internal and external systems,and maintaining metadata and data dictionaries. ? Write and update technical documentation for collaboration and knowledge sharing with team members. ? Support the development of reports and visualizations based on established report definitions. ? Other duties as assigned. Qualifications ? STEM-related Associate?s degree preferred, ? 0-2 years of related work experience in data engineering or architecture required; ? Familiarity with data systems and infrastructures, pipelines, and data sets required; ? Strong command of relational databases and SQL; Extract, Transform, and Load (ETL) data into a relational database required; ? Familiarity with cloud infrastructure technologies. ? 0-2 years of Python strongly preferred; ? Familiarity with GitHub; ? Excellent listening, interpersonal, communication and problem solving skills; ? Ability to use good judgment, take initiative, and make recommendations in resolving problems; ? Ability to work long and irregular hours as necessary in response to technical difficulties. Location: Washington, DC Position ? Full-time ? FLSA Classification: Non-Exempt The Step 1 salary is $94,209, with additional steps considered for candidates with experience and qualifications beyond what is required above. Includes medical insurance, paid time off, and 401(k) with employer contribution. The position is a bargaining unit position, represented by the Washington-Baltimore NewsGuild, TNG-CWA, Local 32035. Working America is an equal opportunity employer. Working America is committed to building a diverse workforce and encourages applications from women, people of color, LGBTQIA and other non-conforming individuals, and individuals with disabilities. Please see PI281420309 Job distributed by JobTarget. Please see job description

About Us ADVI Health: Expert Advice. Clear Vision. Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide. We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments. ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at ************ Overview We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you'll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You'll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most. Analytics and coding work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies for pharma clients. Job Duties • Design and execute rigorous analyses of Medicare, Medicaid, and commercial healthcare claims data to generate real-world evidence supporting HEOR, value, and market access initiatives. • Design and lead claims-based RWE analyses evaluating utilization, cost, and quality impacts using CCW data in VRDC and other secure environments. • Develop and validate SAS programs to support observational studies, comparative effectiveness research, and health economic analyses. • Build and maintain analytical models and data pipelines using SAS to ensure accuracy, reproducibility, and scalability of HEOR analyses. • Synthesize findings into clear, compelling insights that inform payer strategy, pricing, reimbursement, and policy decisions for life sciences clients. • Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals. • Developing RWE reporting systems, continuous data quality optimization, and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making. Key Responsibilities • Lead components of analyses or deliverables under general guidance. • Conduct independent research and interpret data. • Support proposal inputs and client-ready materials. • Mentor Associates on basic methods and quality standards. Core Competencies Technical Proficiency Problem Solving Accountability Mentorship Client Awareness Requirements • Master's or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field • Experienced in both qualitative & quantitative research, survey design, and analyses. • At least 7 years of related experience, with SAS programming experience. • 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences. • Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making. • Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data). • Solid understanding of health outcomes, cost analyses, and study designs used in HEOR and RWE research. • Experience working in HEOR, value and economics outcomes research (VEOR), or real world evidence (RWE) claims experience • Extensive experience working with health care datasets and performing quantitative research An ideal candidate may also have: • Understanding of health care policy issues in Medicare and/or Medicaid • Experience working with data offered in the CMS' Chronic Condition Warehouse • Experience working in the Virtual Research Data Center (VRDC) offered by CCW • Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data Location Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements. Compensation and Benefits The annual base salary range is $126,000-$158,000 plus a bonus plan. This range reflects ADVI's current expectations for the role. Actual compensation may vary and will be determined based on a number of factors including, but not limited to, job related skills, experience, education, internal equity, and market considerations. The base salary range does not include bonuses, potential commission or other incentive compensation, which may be available as part of the total rewards package. Additional details regarding compensation philosophy and benefits will be shared by the recruiter during the interview process. ADVI offers an outstanding benefits package, including the following: • Medical, dental, and vision • 8 paid holidays, including one ADVI Anniversary Day per calendar year • 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting • Health Reimbursement Account • Life and short-term and long-term disability insurance • Paid vacation and sick leave Diversity Statement ADVI's commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself. Our Vision To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide. Our Mission To provide life science and healthcare innovators the benefit of our team's wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care. Our Values Act with Integrity Strive for Excellence Make an Impact Think smart, Stay curious Celebrate the Journey, not just the results We look forward to hearing from you! #LI-Remote Salary Description 126,000-158,000 base salary

Job Description Data Scientist - MID TS/SCI REQUIRED Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.

Job Description Senior Data Scientist (TS/SCI) Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques. Within three - six months of joining the project, data scientists will be expected to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. Qualifications Education: Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Required Qualifications 12+ years of related experience Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including: R, Python, Scala, Java. Proficiency with SQL programming Experience constructing and executing queries to extract data in support of EDA and model development Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience performing data mining, analysis, and training set construction Desired Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Security Clearance: Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance

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

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.

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.

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.

Job DescriptionClearance 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.

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.

**_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 (***************************************************************************************************************************

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. 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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.

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.

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 (***************************************************************************************************************************