Richmond, VA

Data Jobs in Richmond, VA

17 jobs found

Include remote jobs

Today

AWS AI Engineer

Hudson Manpower Richmond, VA 🇺🇸 Remote

Richmond, VA

Today

Full time Backend Developer AI Ai Workflows

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Job Description

This role centers on delivering hands-on AI and cloud engineering in AWS, focusing on retrieval-augmented generation systems, LLM fine-tuning, and deploying AWS native microservices to support automation and governance in production. Based in Richmond, VA with remote work available.

Responsibilities

Hands-on execution of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develop LLM-based applications, with Retrieval-Augmented Generation using LangChain and similar frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, overseeing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication skills in English.

Requirements

Minimum seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails, including SCPs and AWS Config.
Strong background implementing RAG architectures and LangChain.
Proven IaC practices and experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Bedrock
SageMaker
ECS
Lambda
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
AWS
Terraform Sentinel
Hugging Face
Node.js
Golang
Git

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) plan with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

What you’ll get

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

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3d ago

Manager, Data Scientist - Model Risk Office

Capital One Richmond, VA

Richmond, VA

3d ago

$179k - $205k/yr Full time Manager Ai Ml Data Governance

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Job Description

Capital One seeks a Manager, Data Scientist for the Model Risk Office to identify model risks, build and validate ML models, and communicate risk findings to executives.

Location: Richmond, VA (onsite) • Salary: USD 179,400 - 204,700 per year

Responsibilities

Partner with a cross functional team of data scientists, software engineers, and product managers to identify and quantify model risks.
Leverage a broad technology stack—from foundational frameworks such as PyTorch and Hugging Face to orchestration tools like LangChain and vector databases, plus LLMOps and observability platforms—to uncover insights hidden in large, multi modal data.
Develop machine learning models to challenge production champion models and contribute to the governance framework for the next generation of models.
Validate a wide variety of models across multiple business domains within Enterprise Services and present how identified model risks could impact the business to executives.

Technologies

PyTorch
Hugging Face
LangChain
Vector Databases
LLMOps
Python
Scala
R
AWS

BASIC QUALIFICATIONS

Currently pursuing or have obtained a Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with at least 6 years of data analytics experience
Or a Master's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or MBA with quantitative concentration plus at least 4 years of data analytics experience
Or a PhD in a quantitative field plus at least 1 year of data analytics experience
At least 1 year of experience using open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational or vector databases

PREFERRED QUALIFICATIONS

PhD in a STEM field plus 3 years of data analytics experience
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large scale data analysis
At least 4 years of experience with machine learning, including GenAI
At least 4 years of experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection

THE IDEAL CANDIDATE IS

Innovative and keeps current with state of the art methods, technologies, and applications
Creative and capable of defining and solving large, undefined problems
Technical and proficient with open source tools and cloud platforms
Statistically minded with modeling, validation, and backtesting experience, including interpretation of confusion matrices and ROC curves, plus experience with clustering, classification, time series, and deep learning
Data guru comfortable handling big data and integrating diverse data sources

TEAM DESCRIPTION

The Capital One Model Risk Office safeguards the company from model failures while enhancing decision making through models, including GenAI related risks. The team blends statistics, software engineering, and business acumen to support Risk Management and the broader Enterprise, with ongoing investments in future capabilities and skills.

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4d ago

Business Data Analyst Wage

Virginia Department of Transportation Richmond, VA

Richmond, VA

4d ago

Full time Analyst Analytics Business Analytics

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Job Description

Benefits

This onsite role in Richmond, VA with the Virginia Department of Transportation provides the chance to influence statewide planning and performance initiatives through data driven analysis, reporting, and data management. You will collaborate with the Information Technology Division and external partners, support regulatory compliance, and help deliver data services that empower decision makers across the organization.

Responsibilities

Plan, manage and coordinate designated activities related to assigned program area(s).
Research and analyze the statewide business relative to planning, performance measures, customer feedback, and performance improvements, and communicate results.
Support programmatic analysis, reporting, and data management by developing and maintaining databases and data services needed to support the business.
Respond to ad hoc requests for information.
Perform all functions in compliance with state regulations and policies.
Function as technical liaison support to the Information Technology Division (ITD) and external partners and demonstrate high proficiency in computer software applications with some programming capabilities.
Business Reporting: Create and update reports to support management for the assigned program, report on performance and metrics, and develop and propose new reports as needed to address stakeholder needs.
Data Management: research, compile, organize, and analyze large data sets from various systems and sources; revise and update existing databases, add new data fields, and document improvements to data, systems, and processes.
IT Liaison: Identify and adopt technology to support business groups; collaborate with IT professionals to create, test, and align technology with business processes.

Requirements

Ability to communicate effectively in both oral and written form with diverse audiences.
Demonstrated skill developing and managing large data sets and integrating data from different sources and platforms.
Knowledge of database development theory, data management, business process improvement, and performance management.
Proficient use of Microsoft Office products.
Some knowledge of the Software Development Lifecycle (SDLC).
Ability to apply logic and reasoning to identify and analyze problems and recommend solutions consistent with regulations and policies.
Ability to research, compile, and organize statistical data into clear and meaningful reports.
Ability to use SQL Server and write database queries in SQL.
Demonstrated skill developing and managing large data sets, integrating data from different sources and across different platforms.
Skill in oral and written communication to build effective relationships.
Knowledge of statistical analysis using SAS-R and experience with mathematical modeling.
Knowledge of statistical methods, data analysis, needs assessments, and business process evaluation principles.
Proficient use of Microsoft SharePoint, Teams, Excel, Power BI, etc.

Technologies

SQL Server
SQL
Microsoft Office
Microsoft SharePoint
Microsoft Teams
Excel
Power BI
SAS-R

Physical Requirements

VDOT employees must abide by VDOTs Code of Ethics and the Commonwealths Standards of Conduct.

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8d ago

Senior Data Analyst - Global Payments Network

Capital One Richmond, VA

Richmond, VA

8d ago

$101k - $115k/yr Full time Senior Analyst Analytics

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Job Description

In Capital One’s Global Payments Network within Finance, the Senior Data Analyst will drive data analysis, governance, and the development of data solutions in an Agile setting, spanning Innovation, Business Intelligence, and Data Management responsibilities.

Responsibilities

Conduct data analysis in an Agile environment alongside technology, product, business, and data professionals, frequently delivering reports.
Ensure data capabilities meet regulatory requirements.
Deliver reporting, analysis, and data validations to support presentations, predictive modeling, and ad hoc requests.
Apply analytic and technical skills to design, implement, and maintain well-governed data solutions addressing business problems.
Leverage open source and digital technologies to mine complex and varied data sources and platforms.
Create and maintain data solutions, tools, and capabilities that enable self service for data consumers.
Demonstrate the ability to quickly learn new technologies to advance multiple initiatives.
Collaborate with the business to translate needs into tools, metrics, and dashboards for insights and data visualization.
Lead analyses that yield meaningful insights for business strategy.
Promote adherence to data quality principles, including metadata, lineage, and business definitions.
Work with technology teams to manage security controls and data access governance.
Develop tools to monitor and report on data quality.

Qualifications and Requirements

Candidates must hold or be pursuing a Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) with at least two years of data analytics experience; or hold or be pursuing a Master’s degree with expected completion by the start date.
At least one year of experience with at least one scripting language.
At least one year of experience using a business intelligence visualization tool.
At least one year of experience querying, analyzing, and working with data languages and platforms.

Technologies

Python
R
Spark
SQL
Snowflake
AWS
Informatica DQ

Location

Richmond, Virginia, onsite

Salary

Annual salary: USD 111,200.00 - 126,900.00

Posted date

7/07/2026

Job Type

Full-time

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9d ago

Principal Data Analyst

Genworth Richmond, VA

Richmond, VA

9d ago

$108k - $209k/yr Full time Senior Analyst Analytics

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Job Description

Genworth offers a competitive total rewards package and a culture that prioritizes data-driven decision making. The Principal Data Analyst role in Richmond, VA (hybrid) partners with Long Term Care Claims Operations to translate data into strategic insights, build scalable Power BI solutions, and guide forecasting, capacity planning, and operational improvements through strong data storytelling. Compensation ranges from USD 108,100 to 209,000 per year. A bachelor’s degree and a minimum of 6 years of experience in data analytics are required.

Benefits

Competitive compensation and comprehensive total rewards
Comprehensive healthcare coverage
Multiple 401(k) plan options with auto enrollment in an employer-funded retirement account
Generous paid time off, including 12 paid holidays, volunteer time off, and paid family leave
Disability, life, and long term care insurance
Tution reimbursement, student loan repayment, and training and certification support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial and legal management)
Caregiver and mental health support services

Responsibilities

Act as a senior analytical advisor and trusted partner for Long Term Care Claims, Customer Service, and Workforce Management, delivering insights that inform strategic and operational decisions
Design, develop, and own scalable Power BI solutions, including datasets, semantic models, reports, and dashboards aligned to enterprise standards
Engage in data modeling and DAX, focusing on performance optimization and efficient query design
Ensure security and role-based access, workspace governance, lifecycle management, and deployment standards
Create dashboards and reports that are intuitive, well-documented, and optimized for executive and operational audiences with strong data storytelling
Uphold reporting standards to prevent ad hoc, duplicative, or inconsistent solutions across teams
Develop complex, highly optimized SQL queries to extract, transform, and analyze large structured datasets
Translate ambiguous business questions into defined analytical approaches, metrics, and success measures
Deliver diagnostic and forward-looking insights, including forecasting, scenario modeling, capacity planning, and cost-benefit analysis
Identify emerging trends, performance drivers, risks, and opportunities affecting customer experience, operational efficiency, and financial outcomes
Present findings and recommendations to senior and executive leadership with clear, actionable data narratives
Validate, reconcile, and certify data from multiple teams and systems to ensure accuracy and consistency
Proactively identify data quality issues, anomalies, and upstream gaps; collaborate with source system owners, data engineering, and governance to resolve
Establish and reinforce data validation standards, controls, and best practices
Apply trend analysis and variance detection to surface data or process risks before they affect decisions
Serve as a Power BI subject matter expert on usage, data interpretation, and reporting design
Upskill business and technical teams through coaching, documentation, and informal training
Provide troubleshooting and advisory support for Power BI solutions and datasets
Foster a culture of data literacy, shared ownership, and continuous improvement across supported teams
Mentor junior analysts and elevate overall analytical maturity through leadership by example
Partner with stakeholders across LTC Claims, Customer Service, Operations, Finance, WFM, and other functions to align analytics with business outcomes
Collaborate with data engineering, analytics, and data governance to align reporting with enterprise data strategy
Coordinate across departments to integrate new data sources and evolve reporting as business needs change
Contribute to complex, cross-functional initiatives where analytics and reporting are critical to success, operating independently while aligning with leadership on high-impact decisions

Requirements

Expert-level analytical and problem-solving skills, with the ability to synthesize complex data into clear insights and recommendations
Proven ability to present insights and recommendations to senior and executive leadership with confidence and clarity
Experience translating business needs into technical solutions and actionable analytics
Ability to work independently, manage multiple complex priorities, and influence
Curious, highly analytical mindset with a passion for using data to drive strategy and change
Bachelor's degree in analytics, data science, economics, mathematics, computer science, or a related quantitative field
6+ years of progressive experience in data analytics with demonstrated impact in complex environments
Advanced SQL expertise (Oracle, Microsoft SQL Server, or equivalent), including query optimization, complex joins, CTEs, and performance tuning
Power BI expert with data modeling, DAX, visual design best practices, and executive storytelling
Strong experience working with large structured datasets using SQL, Excel, and Python

Technologies

Power BI
SQL, Oracle, Microsoft SQL Server
DAX, Excel
Python, R
Databricks
TIBCO Spotfire, Business Objects
Pega

Nice to Have

Experience with Databricks or modern cloud-based data platforms
Experience with internal Genworth systems or Insurance / Financial Services industry background
Experience with TIBCO Spotfire, Business Objects, or similar BI tools
Experience with Pega (Platform + Data)
Master's degree in a related field
Advanced analytics or modeling experience using Python and/or R
Experience with data management, data quality, and SQL object creation (views, functions, reusable logic)

Additional Information

This role is not eligible for employment visa sponsorship. National Range: $108,100-$168,000. High-Cost Range (includes New York): $135,100-$209,000. This position follows a national market-based pay range. Actual compensation varies by location, experience, skills, and other factors. In addition to base salary, the role is eligible to participate in a bonus incentive plan, with incentive compensation determined by individual and company performance and not guaranteed.

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9d ago

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)

Capital One Richmond, VA

Richmond, VA

9d ago

$179k - $205k/yr Full time Agentic Ai Ai Ml Ai Platform

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Job Description

Capital One seeks a Lead AI Engineer onsite in Richmond, Virginia to shape GenAI Platform, AI Foundations, LLM Core and Agentic AI. This role offers a competitive annual salary in the range of USD 179,400 to 204,700 and requires a Master’s degree with at least 2 years of relevant AI/ML experience (or a Bachelor’s with at least 4 years). You will design, develop, test, and deploy AI software components and contribute to the long term technical vision for foundational AI systems. You will collaborate with engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how Capital One associates work and how customers interact with Capital One.

Benefits

Health benefits
Performance-based incentive compensation (cash bonuses and long-term incentives)

Responsibilities

Partner with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that transform how Capital One associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and introduce state of the art LLM optimization techniques to improve the performance of large scale production AI systems in terms of scalability, cost, latency, and throughput.
Contribute to the technical vision and long term roadmap of foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master’s degree in these fields plus at least 2 years of experience.
At least 4 years of experience programming with Python, Go, Scala, or Java.

The Ideal Candidate

You enjoy building systems, take pride in code quality, and are motivated to work on problems that advance banking for good.
You stay current with AI research and can translate publications into production ready techniques.
You adapt quickly, bring clarity to large, undefined problems, ask questions, and articulate findings concisely; you share new ideas, even when unproven.
You are deeply technical, with a strong foundation in engineering and mathematics, and you leverage hardware, software, and AI insights to find optimization opportunities others miss.
You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unclear.

Preferred Qualifications

6 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, delivering, and supporting AI services.
Experience developing AI and ML algorithms or technologies (LLM inference, similarity search and vector databases, guardrails, memory) using Python, C++, C#, Java, or Golang.
Experience developing and applying state of the art techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
A sustained interest in AI research and systems, with a track record of judiciously applying novel techniques in production.

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21d ago

Lead Machine Learning Engineer (Manager IC)

Capital One Richmond, VA

Richmond, VA

21d ago

Full time Manager Agentic Ai Ai Ml

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Job Description

Benefits

Capital One offers a competitive rewards package and a focus on total well-being, including incentives and benefits that support your career and life goals.

Performance-based incentive compensation (cash bonuses and long-term incentives).
Health, financial, and other benefits that support total well-being.

Location: Richmond, VA, onsite.

Responsibilities

Collaborate with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI powered products that change how our associates work and provide value to our customers.
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
Fine-tune, develop and evaluate machine learning and foundation models.
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
Leverage a broad stack of Open Source and SaaS AI technologies.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
Retrain, maintain, and monitor models in production.
Construct optimized data pipelines to feed ML models.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

Python, Scala, Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
AWS Bedrock
Google Cloud
Azure
Retrieval Augmented Generation (RAG)

The ideal candidate

You love to build systems, take pride in the quality of your work, and are motivated to make banking better.
You are a skilled communicator, comfortable explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
You stay current with AI research and can interpret scientific publications to judiciously apply novel techniques in production.
You adapt quickly, bring clarity to big, undefined problems, ask questions, dig deep, and articulate findings concisely with the courage to share new ideas, even if unproven.
You are deeply technical, with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to spot optimization opportunities others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
You maintain a passion for AI research and AI systems, and apply novel techniques in production with care.