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Predictive Analytics Jobs in Virginia (NOW HIRING)

PrimCorp

Junior Data Analyst

Reston, VA

... predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systemsJob Requirements The following ...

PrimCorp, LLC

Junior Data Analyst

Reston, VA · On-site

... predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systems Job Requirements Job Requirements * The ...

Arcfield

Predictive Modeling Analyst IV

Chantilly, VA · On-site

Guides predictive analytics model development. Interfaces with customer and helps define work process. * May estimate time frames, quality and quantity of resources required to successfully implement ...

Ra

Customer Analytic Manager

Arlington, VA

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Stbancorp

$48K - $115K/yr

Delivers solutions including reporting, dashboard development, predictive analytics, and ad hoc projects while serving as a subject matter expert for designated reports/data. Duties and ...

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 ...

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Predictive Analytics information

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$26.8K

$111.8K

$198.8K

How much do predictive analytics jobs pay per year?

As of Aug 15, 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 is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

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 do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

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 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 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, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $111,755 per year, or $53.7 per hour.

Principal II - Fraud Analytics Lead (Consulting Manager)

Guidehouse

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants

Job description

Job Family:
Data Science & Analysis
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
The Principal II Fraud Analytics Lead will provide strategic technical leadership for fraud analytics operations, analytical methodologies, platform integration activities, and investigative initiatives. This position establishes analytical approaches, guides technical direction across workstreams, and advises stakeholders on complex fraud detection and analytic challenges.
  • Establish analytical strategies, methodologies, and priorities supporting fraud analytics, predictive analytics, forensic analysis, data mining, and cybersecurity monitoring initiatives.

  • Develop and apply in-depth analyses of complex data to identify fraudulent activity, anomalous behavior, root causes, emerging risks, and potential attack vectors.

  • Exercise independent judgment in selecting analytical methods, techniques, tools, and evaluation criteria to obtain results and inform decision-making.

  • Provide technical leadership, mentorship, and strategic direction across analytical workstreams while reviewing and approving complex analytical products and recommendations.

  • Define, refine, and oversee implementation of fraud indicators, detection methodologies, predictive models, analytical frameworks, and statistical analysis approaches.

  • Collaborate with stakeholders to integrate data mining results with existing systems, improve analytics performance, and recommend process or technology enhancements.

  • Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational priorities.

  • Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.

  • Identify alternative applications for existing tools, techniques, and technologies to improve fraud analytics outcomes and operational effectiveness.

  • Advise government and contractor leadership on fraud trends, emerging risks, analytical priorities, and opportunities to improve fraud detection effectiveness.

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.

What You Will Need:
  • Ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.

  • EIGHT (8) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.

  • Experience leading analytical workstreams, technical tasks, or program segments in data analytics, fraud analytics, cybersecurity, systems integration, or platform advisory environments.

  • Experience establishing analytical strategies, technical approaches, or fraud detection methodologies across multiple teams or workstreams.

  • Experience developing and applying in-depth analysis of complex data using professional concepts, methodologies, and independent judgment.

  • Experience with machine learning, statistical modeling, predictive analytics, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.

  • Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.

  • Experience providing technical leadership, direction, or mentorship to team members completing analytics, data integration, documentation, or investigative tasks.

  • Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.

  • Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.
  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

What Would Be Nice To Have:
  • Experience leading fraud analytics, cybersecurity analytics, data science, or incident response teams in a federal or large enterprise environment.

  • Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.

  • Experience developing or guiding machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.

  • Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.

  • Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.

  • Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.

What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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