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Predictive Modeling Jobs in Washington (NOW HIRING)

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 ...

Client First Technologies

Data Scientist II

Fairfax, VA · On-site

The Data Scientist II provides advanced analytical support, predictive modeling, and business intelligence capabilities. The Data Scientist II is responsible for developing and maintaining dashboards ...

QED Enterprises Inc

Data Scientist

Camp Springs, MD · On-site

$135K - $145K/yr

This role provides advanced data analytics, predictive modeling, and business intelligence support to USCIS Field Operations. The Data Scientist analyzes complex immigration operational data to ...

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations ...

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How much do predictive modeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for predictive modeling in Washington is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 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.
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Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Washington as of July 2026, with employment types broken down into 65% Full Time, 17% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $138,316 per year, or $66.5 per hour.
Predictive Modeling Analyst IV

Predictive Modeling Analyst IV

Arcfield

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago

Job description

Responsibilities
This position is to perform GEOINT remote sensing analysis trades and studies of diverse spacecraft platforms and sensor phenomenology. Tasks will require operation and/or development of simulations and models. The successful candidate will perform Modeling & Simulation Analysis as part of Trade Studies, Analysis of Alternatives, and Assessments of system performance against requirements.
  • Conducts logical analysis of management problems and developing multivariate analysis, linear modeling, and data mining.
  • Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.
  • Analyses data and conducts advanced statistical analyses and applies mathematical calculations.
  • Presents findings and recommendations to appropriate groups and helps to determine what actionable steps can be taken based on the findings.
  • Communicates and trains users on model results.
  • Prepares written, non-technical reports to management, indicating analytical finding and models.
  • May supervise more junior staff and schedule work to meet completion dates.
  • 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 project; develops project plan incorporating all project variables.
  • May establish criteria concerning deliverability, performance, maintenance, design and costs.
  • May conduct periodic status checks with customers and team to assess progress against plan.
  • May perform re-forecasts of project variables as necessary throughout project and prepare routine status reports on all project activities.
  • May be assigned responsibility for the management of the function, including associated staff.

Qualifications
  • Must have current TS/SCI Clearance with adjudicated polygraph.
  • BS with 8-10 years related experience, MS with 6-8 years of related experience, PhD with 3-5 years of related experience in engineering (e.g. aerospace, mechanical,. electrical, computer/software), data science, physics, mathematics, or similar technical discipline.
  • In depth experience in at least one of the following disciplines: Collection Performance, Resource Allocation, Multi-band Remote Sensing, Sensor Engineering, Product Quality, Vehicle Engineering, Orbit Mechanics, Functional Availability, Geolocation Accuracy.
  • Experience with Modeling & Simulation Analysis, including tool set-up and execution.
  • Demonstrated experience in performance data analytics and assessments.
  • Experience leading Analysis projects and/or studies.
  • Excellent analytical and problem solving skills; Experience using logic and reasoning to identify the strengths and weaknesses of alternative technical solutions or approaches to problems.
  • Strong systems analysis skills, with the ability to identify and accurately describe system issues.
  • Experienced in utilizing more than one: Python, Tableau, Matlab, Systems Tool Kit.
  • Excellent presentation and communication skills; Demonstrated ability to clearly explain technical issues to technical and non-technical audiences.
  • Ability to work independently and within a team environment.

Desired Skills
  • Project Management skills
  • Experience in multi-INT analysis and demonstrations
  • Master's degree in related engineering discipline

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $98,418.18 Max: $171,130.13
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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