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Predictive Modeling Jobs in Virginia (NOW HIRING)

Data Scientist

Herndon, VA · On-site

$104K - $163K/yr

SOA utilizes advanced predictive analytics, simulation, and modeling to forecast implications of resource needs, policy shifts, and migration changes. The ideal candidate is an analytically rigorous ...

Business Analytics Tutor

Salem, VA · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development * Integrate structured and ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development * Integrate structured and ...

AI/ML SME

Merrifield, VA · On-site

$175K - $230K/yr

This role transforms structured and unstructured data into actionable intelligence through predictive analytics, statistical modeling, and data visualization. Key Responsibilities * Lead the ...

Knowledge of statistical analysis, predictive modeling, and machine learning methods * Knowledge of Agile process or SAFe methodologies * Master's degree in Computer Science or STEM related field

Showing results 41-60

Predictive Modeling information

See Virginia salary details

$10

$58

$82

How much do predictive modeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for predictive modeling in Virginia is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $67.69 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Virginia? The most popular types of Predictive Modeling jobs in Virginia are:
What job categories do people searching Predictive Modeling jobs in Virginia look for? The top searched job categories for Predictive Modeling jobs in Virginia are:
Infographic showing various Predictive Modeling job openings in Virginia as of July 2026, with employment types broken down into 68% Full Time, 12% Part Time, 2% Temporary, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $121,075 per year, or $58.2 per hour.
Quantitative Analytics Senior - House Price Index Modeling

Quantitative Analytics Senior - House Price Index Modeling

Freddie Mac

Mclean, VA • On-site

$126K - $190K/yr

Full-time

Posted yesterday


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Continue your career journey where your work contributes to a greater purpose.

Position Overview:

Freddie Mac's Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the House Price Index Modeling Team. This role is critical to advancing Freddie Mac's mission of Making Home Possible by developing robust and interpretable models for tracking house price appreciation. Apply now and learn why there's #MoreAtFreddieMac!

Our Impact:
  • Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing moreaccessible and affordable.Our team develops robust, scalable models that support the Single-Family business by enabling critical, data-driven risk decisions.

  • Our team is responsible for developing house price index models for Freddie Mac.

Your Impact:
  • As a Data Scientist at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.

  • Developing analytical methods and models about the collateral underlying the mortgages in Freddie Mac's portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.

  • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.

  • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.

  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.

  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.

  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.

  • Working under limited direction, independently resolving and developing approach to solutions.

Qualifications:
  • Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field

  • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include-but is not limited to-statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods

  • Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include-but are not limited to-SAS, Python, R, SQL, and MATLAB

  • Experience working with large data sets and relational database

  • Experience in statistical model development and implementation is preferred

  • Experience with software development and system setup for model application is preferred

Keys to Success in this Role:
  • Exceptional quantitative and analytics skills

  • Strong knowledge of statistical models, tools and techniques

  • Strong programming skills

  • Strong communication skills

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970