Data scientist jobs in Charlottesville, VA

Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Locals to Only# In- Person Interview Job Title: Data Scientist Specialist We are seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI (GenAI) to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Responsibilities: Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic. Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. Build and maintain Jupyter-based notebooks using platforms like AWS SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls. Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media. Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures. Qualifications: experience in AI/ML, with applied GenAI or LLM-based solutions. Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models. Proven experience with cloud-native AI development (AWS SageMaker, Amazon Bedrock, MLFlow on EKS). Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks. Demonstrated ability to work in cross-functional agile teams.

• Functions as the primary technical architect for data warehousing projects to solve business intelligence challenges • Possesses deep technical expertise in database design, ETL (OWB/ODI), reporting, and analytics • Previous consulting experience utilizing an agile delivery methodology Position Requirements • Solutions architect must have expertise as both a solutions architect and AI architect. • 3+ years experience with Azure ETL processing • 3+ years experience utilizing data warehousing methodologies and processes • Strong conceptual, analytical, and decision-making skills • Knowledge and Experience of dimensional modeling • Strong knowledge of Azure Databricks • Proficiency in creating PL/SQL packages • Full SDLC and Data Modeling experience • Ability to create both logical and physical data models • Ability to tune databases for maximum performance • Experience in Data Preparation: Data Profiling, Data Cleansing, and Data Auditing • Ability to work with Business Analysts to create functional specifications and data • Manages QA functions • Develops unit, system, and integration test plans and manages execution • Ability to write technical and end-user system documentation • Excellent written and oral communication skills • Experience transforming logical business requirements into appropriate schemas and models • Ability to analyze and evaluate moderate to highly complex information systems by being able to interpret such devices as Entity Relation Diagrams, data dictionaries, record layouts, and logic flow diagrams

Lead Platform Engineer (Global Payment Network - Palo Alto, Security, Python, AWS, Terraform, Ansible) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Security Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Work with product owners to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full-stack of development tools and technologies Lead the craftsmanship, availability, resilience and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity Utilize scripting languages like Python, BASH, and automation tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: High School Diploma, GED, or equivalent certification At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) At least 4 years of experience with AWS At least 2 years of team leadership experience Preferred Qualifications: 7+ years of experience building and deploying network security infrastructure (Firewalls/Firewall Policy, Intrusion Detection, AWS Security Groups) 5+ years of experience with AWS 2+ years of experience in Python or ansible scripting 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Riverwoods, IL: $144,000 - $164,400 for Lead Platform EngineerChicago, IL: $144,000 - $164,400 for Lead Platform EngineerMcLean, VA: $158,400 - $180,800 for Lead Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Engineer - Distributed Energy Resources (DER) Richmond, VA - Hybrid (1 week on - 1 week off) 12-month contract (Multiple Year Project) $45-55/hr. depending on experience We are hiring a Data Integration Engineer to join one of our Fortune 500 utilities partners in the Richmond area! In this role, you will support our client's rapidly growing Distributed Energy Resources (DER) and Virtual Power Plant (VPP) initiatives. You will be responsible for integrating data across platforms such as Salesforce, GIS, SAP, Oracle, and Snowflake to build our client's centralized asset tracking system for thermostats, EV chargers, solar assets, home batteries, and more. In this role, you will map data, work with APIs, support Agile product squads, and help design system integrations that enable our client to manage customer energy assets and demand response programs at scale. This is a highly visible position on a brand-new product team with the chance to work on cutting-edge energy and utility modernization efforts. If you are interested, please apply! MINIMUM QUALIFICATIONS: 3-5 years of experience in system integration, data engineering, or data warehousing and Bachelor's degree in Computer Science, Engineering, or related technical discipline. Hands-on experience working with REST APIs and integrating enterprise systems. Strong understanding of data structures, data types, and data mapping. Familiarity with Snowflake or similar data warehousing platform. Experience connecting data across platforms and/or integrating data from a variety of sources, i.e. SAP, Oracle, etc. Ability to work independently and solve problems in a fast-paced Agile environment. Excellent communication skills with the ability to collaborate across IT, business, engineering, and product teams. RESPONSIBILITIES: Integrate and map data across Salesforce, GIS, Snowflake, SAP, Oracle, and other enterprise systems Link distributed energy asset data (EV chargers, thermostats, solar, home batteries, etc.) into a unified asset tracking database Support API-first integrations: consuming, analyzing, and working with RESTful services Participate in Agile ceremonies and work through user stories in Jira Collaborate with product owners, BAs, data analysts, architects, and engineers to translate requirements into actionable technical tasks Support architecture activities such as identifying data sources, formats, mappings, and integration patterns Help design and optimize integration workflows across new and existing platforms Work within newly formed Agile product squads focused on VPP/Asset Tracking and Customer Segmentation Troubleshoot integration issues and identify long-term solutions Contribute to building net-new systems and tools as the client expands DER offerings NICE TO HAVES: Experience with Salesforce. Experience working with GIS systems or spatial data. Understanding customer enrollment systems. Jira experience. WHAT'S IN IT FOR YOU…? Joining our client provides you the opportunity to join a brand-new Agile product squad, work on high-impact energy modernization and DER initiatives, and gain exposure to new technologies and integration tools. This is a long-term contract with strong likelihood of extension in a stable industry and company. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Immediate need for a talented Data Engineer / Big data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93504 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services. Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets. Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning. Develop backend and automation tools using Golang and/or Python as needed. Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch. Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges. Perform root-cause analysis and implement automation to prevent recurring issues. Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access. Ensure compliance with enterprise governance, data quality, and cloud security standards. Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality. Key Requirements and Technology Experience: Proficiency in Python with experience building scalable data pipelines or ETL processes. Strong hands-on experience with Spark/PySpark for distributed data processing. Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning. Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM). Experience with Golang for scripting, backend services, or performance-critical processes. Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems. Familiarity with CI/CD workflows, Git, and automated testing. Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

*** W2 Contract Only - No C2C - No 3rd Parties *** The Ash Group is hiring a new Programmer Analyst Principal (Data Engineer) for our client (a global leader providing advanced systems and support in defense, aerospace, and security) based in Falls Church, VA. In this role, you'll be designing, implementing, and optimizing large-scale data systems and ETL pipelines, with a strong focus on using Amazon Redshift and AWS services to ensure data quality and integrity for complex defense programs. Compensation, Benefits, and Role Info Competitive pay rate of $65 per hour. Medical, dental, vision, direct primary care benefits, and, after six months of employment, a 4% matched 401(k) plan with immediate 100% vesting. Type: 12-month contract with potential extension or conversion. Location: On-site in Falls Church, VA. What You'll Be Doing Design and implement large-scale ETL data pipelines using AWS Glue and Python/PySpark to ingest, transform, and load data from various sources. Build and maintain robust data warehouses, focusing on Amazon Redshift, including data modeling and governance. Write and optimize complex, highly-performant SQL queries across large datasets (Redshift, Oracle, SQL Server). Collaborate with cross-functional teams (data scientists, analysts) to understand requirements and deliver end-to-end data solutions. Troubleshoot, optimize performance, and resolve data-related issues like pipeline failures and data quality bottlenecks. What We're Looking For 8+ years of hands-on experience in data engineering, focusing on designing and implementing large-scale data systems. 5+ years of experience in building production-level ETL pipelines using AWS Glue and Python/PySpark. Deep proficiency in SQL, including query optimization, indexing, and performance tuning across data warehouses like Amazon Redshift. Strong understanding of database design principles, data modeling (star/snowflake schemas), and data governance. Experience with data processing/orchestration frameworks such as Apache Airflow, Apache Kafka, or Fivetran. If you're a seasoned data engineering professional passionate about building scalable data solutions and driving innovation in cloud-based environments, we want to hear from you. This is an exciting opportunity to work on cutting-edge technologies, collaborate with cross-functional teams, and make a meaningful impact on data-driven decision-making. Apply now to be part of a forward-thinking organization where your expertise will shape the future of our data infrastructure. #DataEngineer #DataEngineering #AWSEngineer #Redshift #ETL #PySpark #DataPipeline #Westminster #ColoradoJobs #Contract

The Department of Public Health Sciences (PHS) (****************************** , School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of **Assistant, Associate or Full Professor** with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. **The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths** . In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health. Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in **cancer epidemiology and/or data sciences** to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this **UVA sponsored Precision Health Initiative** are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area. Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Complete an application online (*********************************** with the following documents: + CV + Cover Letter - please include how you learned about this position + Contact information for at least 3 references _Applications that do not contain all required documents will not receive full consideration._ For questions about the application process, please contact **Roger Anderson** at ******************* . The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here (************************************************************************** to read more about UVA's commitment to non-discrimination and equal opportunity employment. **The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit** **dualcareer.virginia.edu**

The Department of Public Health Sciences (PHS), School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of Assistant, Associate or Full Professor with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths. In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health. Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in cancer epidemiology and/or data sciences to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this UVA sponsored Precision Health Initiative are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area. Qualifications Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. Application Instructions This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply: Complete an application online with the following documents: * CV * Cover Letter - please include how you learned about this position * Contact information for at least 3 references Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Roger Anderson at *******************. Equal Employment Opportunity Statement The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment. The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit dualcareer.virginia.edu

Biocore is a team of world class engineers and scientists providing testing, analysis, and consulting services to companies across the globe. Biocore leverages its unique expertise and experience, as well as cutting-edge physical and cloud computing technologies, to improve safety and enhance the performance of athletes and organizations in sports and entertainment industries. Biocore's mission is to provide the highest level of engineering and analytics expertise to clients dedicated to the understanding and reduction of injury, through a multidisciplinary group with backgrounds in engineering, biomechanics, data science, athlete performance, footwear design and construction, synthetic, natural, and hybrid playing surface design and management, and statistical & epidemiological injury tracking. For more information visit ****************** Position Details Biocore has an immediate opening for a full-time SR./PRINCIPAL DATA SCIENTIST to support modeling efforts across the company. Modeling projects cover a wide range of domains including computer vision leveraging game video to detect and understand events, event detection using data collected from athlete-worn sensors, and generative AI solutions to support getting information to end users. You will build analytical tools that use machine learning and simulation to provide accurate injury risk assessment, identify injury risk mitigation strategies, and expose advanced analytic insights to end users. Your responsibilities will include research, design of new models/algorithms, presentations of analytic work to executive leaders and development of analytical tools and user interfaces. The position is based at our primary office in Charlottesville, VA. Position Title Sr. / Principal Data Scientist, Data & Analytics Team Employment Type Full-time, exempt employee Position Requirements MS or PhD in Computer Science, Statistics, or closely related STEM field Understanding of structure and theory of common machine learning models Extensive experience implementing common machine learning libraries Proficiency in R or Python Experience with rapid prototyping of analytic tools/dashboards using Shiny, Dash, Streamlit, etc. Ability to understand and implement new models from the literature Experience interacting with SQL/No-SQL databases and distributed analytics/processing Five or more years of post-graduate work experience in an engineering, leadership, or consulting role. Of Special Interest: Background in Biomechanical Engineering Publications or conference proceedings related to sports analytics Experience working with professional sports league or team (NFL, NBA, MLB, Premier League) Professional consulting experience involving frequent presentation to executive business leaders Compensation Competitive salary with comprehensive benefits package (includes medical, dental, vision), and a performance-based bonus program. Working style/character qualities You are passionate about the idea of using data science to improve the health and safety of athletes in professional and amateur sports. You have a strong educational background computer science, machine learning, or data science You have five or more years post-graduate work experience in an engineering, consulting, or business environment You are a great teammate who enjoys working with others to build things together that you could not build alone. Biocore LLC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: + Data analysis and visualization + Augmented decision-making and trusted analytics + Applied mathematics, statistics, and optimization + Simulation and computational analytics + Systems modeling and analysis + Operational effectiveness and efficiency + Knowledge discovery + Next-generation data environments Basic Qualifications + Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. + Must continue to be enrolled the semester following the internship. + Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. + Must have sustained excellence in academic performance. Preferred Qualifications + Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. + Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. + Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email ************************ for general support and *************************** for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here (***************************************** . Copyright © 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

PSG, INC. is an agile consulting firm with competencies in Business Operations, Human Capital Management, Finance & Program Management, IT, Security, Research & Data Science, Recruiting and Business Process Re-Engineering. PSG is an industry leader in Financial Management, Program and Acquisition Management, and Business Process Improvement - providing innovative solutions for data-centric organizations. We are experts, highly skilled at creating solutions that enable complex business processes. Our solutions range from internally developed software solutions for industry-specific challenges, to large-scale, multi-faceted custom systems. We help our clients improve accuracy, efficiency, and costs. We give managers better control of their processes, provide data to key decision makers, and gain insight into their business processes - collecting, analyzing, and presenting data in ways that empower individuals is what we're all about. At PSG, we view our clients as partners. We work closely with them to understand their business and its hurdles. Our success is based on our Partner's success - their problem is our passion. PSG leverages progressive technologies to provide technical applications that maximize the value of the organization's data. We help organizations achieve its mission more effectively and efficiently by designing, evaluating, and implementing solutions from a thorough understanding of their business. Job Description The Data Engineer shall provide data analytics, data management, and data architecture support. All data related activities shall comply with appropriate laws and policies and take into consideration the protection of individuals' civil liberties and privacy. Data Engineer / Data Developer (Senior) Designs, develops, builds, analyzes, evaluates and installs database management systems to include database modeling and design, relational database architecture, metadata and repository creation and configuration management. Defines and oversees database organizations, standards, controls, procedures, and documentation. Provides technical consulting in the definition, design, and creation of a data base environment. Advises applications development staff and users on data-based solutions to business problems, data architectures, data base management system facilities and capabilities, and the operation and tuning of data bases. Ensures economic and efficient availability of data within adequate safeguards. Designs and implements databases with respect to access methods, access time, batch processes, device allocation, validation checks, organization, protection and security, documentation, and statistical methods. Uses data mapping, data mining and data transformational analysis tools to design and develop databases. Determines data storage and optimum storage requirements. Prepares system requirements, source analysis and process analyses and design throughout the database implementation. Data Engineer / Data Developer (Journeyman) Work with Senior Data Engineer to analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures. Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. Experience with machine learning, algorithm analysis, and data clustering. Work with more junior Data Engineers to elevate skills for breath and depth in the field. Qualifications Required Knowledge / Skills / Abilities: Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Geographic Information Systems, Information Security, Information Technology (IT), IT Management, Network Administration, Software Development, Technical Writing, or Web Design & Development. Demonstrated relevant expertise supporting U.S. Federal Government as a Database Administrator/Manager/Systems Engineer, with hands-on experience with database standards and end user applications. Minimum five (5) years' working knowledge of data backup, recovery, security, integrity and Structured Query Language (SQL). These five (5) years must be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of database design, data modeling, and data mining techniques, query creation and report generation, documentation, coding, DBA case tools (frontend/backend) with third party tools, and programming languages application programming interface (API). These five (5) years may be concurrent with the requisite years of work experience. Minimum five (5) years' working knowledge of statistical packages for analyzing large datasets. These five (5) years may be concurrent with the requisite years of work experience. Ability to effectively establish and execute strategic and critical task priorities to demonstrate problem-solving skills, and to think algorithmically. Strong knowledge and experience with reporting packages and databases (SQL preferred), and some programming (JavaScript, XML, or ETL frameworks). Desired Knowledge / Skills / Abilities: Ability to understand U.S. Federal Government business needs, with strong analytical and organizational skills. Additional Information Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. We are an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. All your information will be kept confidential according to EEO guidelines.

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP. Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi). Required Skills and Demonstrated Experience Demonstrated experience in Python, Javascript, and R. Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch. Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods. Demonstrated experience with large-scale text analytics. Desired Skills Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models. Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization. Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals. Demonstrated experience with Linux System Administration and associated scripting languages (Bash) Demonstrated experience with Android configuration, software development, and interfacing. Demonstrated experience in embedded systems (Raspberry Pi) Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields. Reports results and provide documentation and guidance on working with the research-grade algorithms. Evaluates, Integrates and leverage internally-hosted data science tools. Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods Location: Reston, Virginia This position is onsite and there is no remote availability. Clearance: Active TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Join a team that's redefining how data drives decisions. As a Senior Data Engineer, you will design and build robust data pipelines to process and integrate data from internal and external sources. You'll focus on developing scalable, standardized data systems that simplify how data is consumed and produced across the organization. Our engineers work with modern technologies such as Python, Spark, Snowflake, Databricks and AWS along with tools like Airflow, Flink and AWS Glue, to build modern, high performance data platforms that power analytics and innovation across the organization. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Immediate need for a talented Senior Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Mclean, VA(Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-84666 Pay Range: $64 - $68/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Client, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. Key Requirements and Technology Experience: Key skills; Python, AWS, SNOWFLAKE Bachelor's degree in computer science or a related field. Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Client. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Purpose: We are seeking a highly skilled Cloud Data Engineer with deep expertise in Databricks and modern cloud platforms such as AWS, Azure, or GCP. This role is ideal for professionals who are passionate about building next-generation data platforms, optimizing complex data workflows, and enabling advanced analytics and AI in cloud-native environments. You'll have the opportunity to work with Fortune-500 organizations in data and analytics, helping them unlock the full potential of their data through innovative, scalable solutions. Key Result Areas and Activities: Design and implement robust, scalable data engineering solutions. Build and optimize data pipelines using Databricks, including serverless capabilities, Unity Catalog, and Mosaic AI. Collaborate with analytics and AI teams to enable real-time and batch data workflows. Support and improve cloud-native data platforms (AWS, Azure, GCP). Ensure adherence to best practices in data modeling, warehousing, and governance. Contribute to automation of data workflows using CI/CD, DevOps, or DataOps practices. Implement and maintain workflow orchestration tools like Apache Airflow and dbt. Roles & Responsibilities Essential Skills 4+ years of experience in data engineering with a focus on scalable solutions. Strong hands-on experience with Databricks in a cloud environment. Proficiency in Spark and Python for data processing. Solid understanding of data modeling, data warehousing, and architecture principles. Experience working with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and data workflow automation. Desirable Skills Direct experience with Unity Catalog and Mosaic AI within Databricks. Working knowledge of DevOps/DataOps principles in a data engineering context. Exposure to Apache Airflow, dbt, and modern data orchestration frameworks. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in cloud platforms (AWS/Azure/GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing. Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role. Experience in Angular and DevOps are nice to haves for this role. Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify. Responsibilities: Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project. New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest Perform System, functional and data analysis on the current system and create technical/functional requirement documents. Current System: Informatica, SAS, AutoSys, DB2 Write automated tests using Behave/cucumber, based on the new micro-services-based architecture Promote top code quality and solve issues related to performance tuning and scalability. Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify. Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings. Preferred strong skills and experience in reporting applications development and data analysis Knowledge in Agile methodologies and technical documentation.

The Darden School of Business at the University of Virginia invites applications for a tenure-track open rank appointment in DADS, beginning in the fall of 2026. The DADS area at Darden specializes in influential academic research, teaching excellence, and the production of high-quality teaching materials made available to the world via Darden Business Publishing. There is broad latitude with respect to specific area of research interest. The area offers a variety of required and elective courses to residential and executive MBA students. Topics currently taught include decision analysis, data analytics, optimization, data science, behavioral decision making, game theory, and project management. The DADS faculty also teach in the Master of Science in Business Analytics program, as well as Darden's non-degree Executive Education programs. The Darden School of Business offers MBA and executive education programs with a global reach that consistently rank among the best in the world. The University of Virginia is regarded as one of the nation's finest public universities and Charlottesville is consistently ranked among the best places to live in the United States. In addition, Darden has a new state-of-the-art campus in the Washington D.C. area, providing additional global access for our research and teaching. The Darden School of Business is an organization with a strong culture that reflects our mission and vales. We foster a learning environment that inspires and engages people from many different backgrounds, and we are committed to creating a candidate experience that is respectful, transparent, and reflective of who we are as a business school. For the 2025-2026 academic year, the Darden School is recruiting in the areas of Analytics and Decision Sciences, Finance, Marketing, Technology and Operations Management, and Strategy, Entrepreneurship, & Ethics. For more information about the Darden School and the University of Virginia, see ******************************** . Applicants must have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or a related area by the date of appointment. Applicants must have the ability to be a successful researcher, teacher, and colleague at the Darden School. Applicants must show evidence of the ability to generate research of the highest quality and the potential to publish in premier outlets. Applicants, to the extent of their experience, must provide a record of success as a teacher, ideally both in MBA and executive programs. Senior candidates must also provide evidence of scholarly and managerial impact. All applicants are expected to be involved in research and teaching, in developing teaching materials, and in establishing or maintaining interactions with practicing managers as well as academicians. Candidates will also be evaluated for their capacity to support our new PhD program, specifically when it comes to mentoring students. Please visit *********************************** to apply. Complete the application and see below for documents to attach. **Required Application Materials:** + CV + Cover Letter that describes your research agenda and teaching experience (including a summary of teaching evaluations if available) + One research paper (either published or a working paper) + Contact information for 3 references **Applications that do not contain all of the required documents will not receive full consideration.** Review of applications will begin on November 5, 2025, though we welcome applications after that date and will continue to review applications until the position is filled. For questions about the application process, please contact Amy Fitzgerald at ******************************* . For more information about the Darden School and the University of Virginia, see ******************************* . The selected candidate will be required to complete a background check at time of offer per University Policy. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here (************************************************************************** to read more about UVA's commitment to non-discrimination and equal opportunity employment. **The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit** **dualcareer.virginia.edu**

The Darden School of Business at the University of Virginia invites applications for a tenure-track open rank appointment in DADS, beginning in the fall of 2026. The DADS area at Darden specializes in influential academic research, teaching excellence, and the production of high-quality teaching materials made available to the world via Darden Business Publishing. There is broad latitude with respect to specific area of research interest. The area offers a variety of required and elective courses to residential and executive MBA students. Topics currently taught include decision analysis, data analytics, optimization, data science, behavioral decision making, game theory, and project management. The DADS faculty also teach in the Master of Science in Business Analytics program, as well as Darden's non-degree Executive Education programs. The Darden School of Business offers MBA and executive education programs with a global reach that consistently rank among the best in the world. The University of Virginia is regarded as one of the nation's finest public universities and Charlottesville is consistently ranked among the best places to live in the United States. In addition, Darden has a new state-of-the-art campus in the Washington D.C. area, providing additional global access for our research and teaching. The Darden School of Business is an organization with a strong culture that reflects our mission and vales. We foster a learning environment that inspires and engages people from many different backgrounds, and we are committed to creating a candidate experience that is respectful, transparent, and reflective of who we are as a business school. For the 2025-2026 academic year, the Darden School is recruiting in the areas of Analytics and Decision Sciences, Finance, Marketing, Technology and Operations Management, and Strategy, Entrepreneurship, & Ethics. For more information about the Darden School and the University of Virginia, see ********************************* Qualifications Applicants must have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or a related area by the date of appointment. Applicants must have the ability to be a successful researcher, teacher, and colleague at the Darden School. Applicants must show evidence of the ability to generate research of the highest quality and the potential to publish in premier outlets. Applicants, to the extent of their experience, must provide a record of success as a teacher, ideally both in MBA and executive programs. Senior candidates must also provide evidence of scholarly and managerial impact. All applicants are expected to be involved in research and teaching, in developing teaching materials, and in establishing or maintaining interactions with practicing managers as well as academicians. Candidates will also be evaluated for their capacity to support our new PhD program, specifically when it comes to mentoring students. Application Instructions Please visit *********************************** to apply. Complete the application and see below for documents to attach. Required Application Materials: * CV * Cover Letter that describes your research agenda and teaching experience (including a summary of teaching evaluations if available) * One research paper (either published or a working paper) * Contact information for 3 references Applications that do not contain all of the required documents will not receive full consideration. Review of applications will begin on November 5, 2025, though we welcome applications after that date and will continue to review applications until the position is filled. For questions about the application process, please contact Amy Fitzgerald at *******************************. For more information about the Darden School and the University of Virginia, see ******************************** The selected candidate will be required to complete a background check at time of offer per University Policy. Equal Employment Opportunity Statement The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment. The University of Virginia offers confidential Dual Career Services to partners of incoming faculty candidates. To learn more, please visit dualcareer.virginia.edu