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Predictive Modeling Analyst Jobs (NOW HIRING)

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 ...

If you're passionate about machine learning, predictive analytics, forecasting, and developing models that directly influence business outcomes, we invite you to help shape the future of insurance at ...

... Analyst. In this role, the successful candidate is responsible for leveraging advanced statistical ... This role designs and develops predictive models (e.g., for performance, turnover, and hiring ...

Senior Predictive Modeler

Iowa, LA ยท On-site +1

$120K - $200K/yr

Analytical Leadership: Serve as a subject matter expert on predictive modeling methodologies and best practices across the organization. * Identify opportunities for new data sources, modeling ...

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Predictive Modeling Analyst information

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$33K

$99.4K

$187K

How much do predictive modeling analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for predictive modeling analyst in the United States is $99,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What does a Predictive Modeling Analyst do?

A Predictive Modeling Analyst uses statistical techniques and data analysis tools to forecast future outcomes based on historical data. They build mathematical models to identify patterns and trends, helping organizations make data-driven decisions in areas like marketing, finance, and operations. Their work often involves cleaning data, selecting relevant variables, and evaluating the accuracy of their models to ensure reliable predictions.

Is predictive modeling difficult?

Predictive modeling as a role involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and technical skills. Proficiency in statistical software, programming languages like Python or R, and understanding of data science concepts are often necessary to succeed in this field.

What are the key skills and qualifications needed to thrive as a Predictive Modeling Analyst, and why are they important?

To thrive as a Predictive Modeling Analyst, you need strong statistical analysis, data mining, and mathematical modeling skills, typically supported by a degree in statistics, mathematics, computer science, or a related field. Proficiency with analytical tools and languages such as Python, R, SAS, and familiarity with data visualization software and databases is essential. Critical thinking, problem-solving, and effective communication are key soft skills that help convey complex findings to stakeholders. These skills and qualities are crucial for generating accurate predictions and actionable insights that drive strategic business decisions.

What jobs make $1,000,000 a year?

Predictive Modeling Analysts typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles, successful entrepreneurs, or highly specialized positions in finance, technology, or investment banking. Top-tier executives, hedge fund managers, and certain tech entrepreneurs can reach or exceed this income level, often through bonuses, equity, or profit sharing. These roles require advanced skills, extensive experience, and often significant risk-taking or ownership stakes.

How does a Predictive Modeling Analyst typically collaborate with other departments within an organization?

Predictive Modeling Analysts often work closely with departments such as Marketing, Finance, Operations, and IT to understand business needs and deliver actionable insights. They translate complex statistical findings into clear recommendations, ensuring stakeholders from non-technical backgrounds can make informed decisions. Regular meetings, cross-functional project teams, and data-sharing platforms are common collaboration tools, making strong communication and teamwork skills essential. This collaborative approach not only improves model effectiveness but also helps align predictive analytics with overall business strategies.

What does a predictive analyst do?

A predictive modeling analyst uses statistical techniques and machine learning algorithms to analyze data and forecast future trends or behaviors. They develop models to support decision-making, often working with tools like Python, R, or SQL, and require strong analytical and problem-solving skills. Their work helps organizations optimize strategies and improve outcomes based on data insights.

Is 40 too late for data science?

Predictive Modeling Analysts and other data science roles do not have an age limit; many professionals start or transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.
What states have the most Predictive Modeling Analyst jobs? States with the most job openings for Predictive Modeling Analyst jobs include:
Infographic showing various Predictive Modeling Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $99,430 per year, or $47.8 per hour.
Predictive Modeling Analyst IV

Predictive Modeling Analyst IV

Arcfield

Chantilly, VA โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Posted 18 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.