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Remote Predictive Modeling Jobs in Virginia (NOW HIRING)

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... predictive modeling). Use Python or lightweight scripting only as needed for function calls ...

Kobie Marketing

Director, Product

Richmond, VA · Remote

$230K - $241K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... predictive modeling, and AI-assisted marketing workflows. * Drive the long-term roadmap for data ...

Medium

Director, Product

Richmond, VA · Remote

$230K - $241K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... predictive modeling, and AI-assisted marketing workflows. * Drive the long-term roadmap for data ...

Genworth Financial

Actuary, Model Risk

Richmond, VA · On-site +1

$115K - $135K/yr

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Contribute thought leadership and insights on modeling, model risk management, model controls, and ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Sustain existing WUC predictive failure models * Support selection and analysis of new WUC ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... of new WUC predictive failure models * field newly approved WUC predictive failure models ...

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Remote Predictive Modeling information

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Virginia? For Remote Predictive Modeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Virginia look for? The top searched job categories for Remote Predictive Modeling jobs in Virginia are:
What cities in Virginia are hiring for Remote Predictive Modeling jobs? Cities in Virginia with the most Remote Predictive Modeling job openings:
Remote Predictive Modeling jobs near you
Low Code AI Engineer

Low Code AI Engineer

RIVA Solutions Inc.

Reston, VA • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Title: Low Code AI Engineer
Location: Remote within the United States
Terms: Full-time
Clearance: U.S. Citizenship required and ability to obtain and maintain a Federal Public
Trust investigation
Travel: 0-10%

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY.
That's RIVA.

We're a mission-driven IT services company and systems integrator supporting digital transformation and modernization for Federal government agencies. Since 2009, we've partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don't just develop solutions-we support efforts that strengthen communities and serve the public good.

RIVA's culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, you will have the opportunity to grow your skills, contribute ideas, and make an impact from day one-all while supporting missions that matter.


Program Overview
RIVA Solutions supports the U.S. Department of Commerce (DOC), International Trade
Administration (ITA), in establishing and operating an AI Center of Excellence (AI-CoE)
under the Office of the Chief Information Officer (OCIO). This program advances IT
modernization by designing, developing, deploying, and maintaining artificial intelligence
and machine learning solutions that strengthen mission outcomes across the Commerce
enterprise.

The AI-CoE provides AI application development, model lifecycle management, data
engineering, security support, quality assurance, and Agile delivery services that enable
DOC to mature toward higher levels of operational and technological excellence. RIVA's
work ensures that AI tools and systems are reliable, scalable, secure, and aligned with
federal cloud and data strategies.

Position Overview
RIVA Solutions is seeking a Low Code AI Engineer to support the delivery and
operationalization of AI-enabled solutions using low-code platforms-primarily Microsoft
Power Platform and Copilot Studio-within the AI Center of Excellence. This role focuses
on enabling, deploying, integrating, and monitoring AI experiences in Microsoft's
specialized government cloud environment (Government Cloud Computing/Government
Community Cloud), designed to meet the compliance and security needs of Federal, State,
Local, and Tribal governments. Emphasis is placed on configuration-first development,
CI/CD, data/content ingestion pipelines, and ongoing operations to ensure reliable
production performance.

This position partners closely with technical teams and federal stakeholders to implement
scalable low-code solutions, establish repeatable delivery patterns, and support the
knowledge/content lifecycle that powers AI experiences (e.g., ingestion, validation, refresh,
governance, and monitoring). Traditional, heavy machine learning model development is
not a primary expectation for this role, though limited support may be required as future
mission use cases evolve.
U.S. Citizenship is required, along with the ability to obtain and maintain a federal Public
Trust investigation. This position is fully remote within the United States.

Core Responsibilities
Enable and deliver low-code AI solutions using Microsoft Power Platform and
Copilot Studio to support enterprise mission needs.
Configure, integrate, and operationalize AI experiences, including connectors,
workflows, approvals, and automation patterns that support secure enterprise
adoption.
Support cloud delivery within Microsoft's specialized government cloud
environment (Government Cloud Computing/Government Community Cloud),
ensuring solutions align with federal security, compliance, and governance
requirements.
Implement and maintain CI/CD processes for Power Platform/Copilot solutions
(solution packaging, environment promotions, release management, and
deployment automation).
Build and support data/content ingestion pipelines that prepare and maintain
knowledge sources for AI experiences (knowledge lifecycle management,
validation, refresh schedules, and quality checks).
Deploy, monitor, and optimize low-code AI solutions in production, including
telemetry, alerting, performance monitoring, and incident response support.
Partner with Data Engineers and platform teams to ensure content and data are
structured, accessible, and maintained for AI-enabled experiences (without
requiring heavy feature engineering or predictive modeling).
Use Python or lightweight scripting only as needed for function calls, integration
edge cases, automation gaps, or specialized operational support.
Document platform configurations, release procedures, operational runbooks,
integration patterns, and technical implementation details.
Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal
stakeholders in Agile/Scrum environments.
Stay informed on emerging low-code AI capabilities (Power Platform, Copilot Studio,
governance, and federal cloud guidance) to improve solution quality and
maintainability.

Minimum Qualifications
Bachelor's degree or equivalent professional experience.
Minimum 2 years of experience delivering low-code solutions, platform
enablement, automation, or related engineering work (Power Platform/Copilot
Studio strongly preferred).
Experience configuring, deploying, and supporting solutions across multiple
environments (dev/test/prod), including release and change management practices.
Experience with CI/CD concepts and implementation for low-code or platform
based solutions (packaging, deployments, environment strategy, and operational
monitoring).
Experience supporting data/content ingestion, integration, or lifecycle processes
that enable AI experiences (knowledge management, data preparation workflows, or
content operations).
Strong analytical and problem-solving skills with a delivery-and-operations mindset.
U.S. Citizenship required.
Ability to obtain and maintain a Federal Public Trust investigation.

Preferred Qualifications
Experience supporting federal government or public-sector technology programs,
including regulated cloud environments.
Hands-on experience with Microsoft Power Platform administration and governance
(DLP policies, environment strategy, ALM practices, Center of Excellence patterns).
Experience with Copilot Studio (bot/agent configuration, integrations/connectors,
publishing, telemetry/monitoring).
Exposure to lightweight scripting (e.g., Python) for integrations, function calling, or
operational edge needs.
Experience with monitoring/observability practices (logging, metrics, alerting,
dashboards) and operational support for production services.
Familiarity with cloud-native services and secure delivery practices within Azure
ecosystems.
Certifications in Power Platform, cloud engineering, or related fields are a plus.

Salary
$120K

RIVA Benefits
Paid Time Off / Sick Leave
Health, Dental, and Vision Coverage
Life Insurance
Retirement Benefits / 401K with company matching
HSA/FSA Spending Accounts
Long- and Short-term Disability
Pet Insurance
Wellness Program Initiatives
RIVA Flex
Additional Workplace Benefits

Equal Opportunity Statement
RIVA Solutions is an Equal Opportunity/Affirmative Action employer. All qualified
applicants will receive consideration for employment without regard to race, color, religion,
sex, sexual orientation, gender identity, national origin, disability, veteran status, or any
protected class. If you need a reasonable accommodation to search for a job opening or to
submit an online application, please email accommodations@rivasolutionsinc.com. Only
messages left for this purpose will be returned.

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