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Predictive Analytics Jobs in Virginia (NOW HIRING)

CACI

Data Scientist

Alexandria, VA

Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation. Leverage artificial ...

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation. * Leverage artificial ...

CACI

Data Scientist

Alexandria, VA · On-site

Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation. Leverage artificial ...

Apex Systems

Data Scientist (AI/ML)

Alexandria, VA · On-site

Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation. * Leverage artificial ...

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All JobsPredictive Analytics JobsPredictive Analytics Jobs in Virginia

Predictive Analytics information

See Virginia salary details

$26.8K

$111.8K

$198.8K

How much do predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for predictive analytics in Virginia is $111,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,900.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Virginia?

The most popular types of Predictive Analytics jobs in Virginia are:

What are popular job titles related to Predictive Analytics jobs in Virginia?

For Predictive Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Virginia look for?

The top searched job categories for Predictive Analytics jobs in Virginia are:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $111,755 per year, or $53.7 per hour.

Industrial Base Analyst

Arlington, VA • On-site

Spectrum Comm Inc
IT Services • 201 - 500 employees
Learn more about Spectrum Comm Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Position Summary
The Industrial Base Analyst coordinates and executes all contract tasks supporting the SAF/AQX Industrial Base Division, helping the Air Force build and sustain a robust, secure, and resilient industrial base. This role leads mergers-and-acquisitions evaluations, tracks industrial base investments, and oversees sustainment and predictive-analytics development for industrial base IT systems.
Key Responsibilities
  • Coordinate and execute all tasks spanning industrial base analysis/strategic support and industrial base IT systems/data analytics.
  • Analyze and assess the impact of mergers, acquisitions, and divestitures on the Defense Industrial Base (DIB) and Air Force programs.
  • Identify and assess supply chain and industrial base vulnerabilities and support Government-led mitigation strategies.
  • Support justification of GOCO industrial plants and draft technical input for Air Force, DoW, and Congressional inquiries on industrial preparedness.
  • Track DIB-focused investments, develop technical roadmaps and market strategies, and support Defense Production Act (Title I and III) implementation analysis.
  • Sustain and enhance data-warehousing tools such as the Defense Industrial Base Company Insights (DIBCI) capability within PMRT, integrating sources like FPDS-NG and SAM.gov.
  • Evaluate and help implement Government-approved AI/ML applications for predictive analytics on supply chain trends, and deliver training on developed tools.

Requirements
Minimum Qualifications
  • Minimum Experience: 10 years
  • Education: Master's degree or Ph.D. in Economics, Finance, or a related field
  • Certifications / Expertise: CFA; Certified Business Economist (CBE)
  • Security Clearance: Top Secret

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources
  • Stock Option Plan

Apply