As of May 01, 2026, the average salary for a Predictive Modeler in the United States is $130,306 per year, which breaks down to an hourly rate of $63.
However, a Predictive Modeler's salary can vary significantly. Here’s a look at the typical salary range:
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A Predictive Modeler's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location and company size can directly affect your earning potential.
Your salary can change significantly depending on where you work. States with a higher cost of living and strong industrial sectors often pay more to attract Predictive Modelers. For example, consider the average annual salaries in these key locations:
Demanded Skills for the Role:
| Skills | Demand Percentage |
|---|---|
| Leadership | 4.96% |
| CPA | 4.3% |
| Geriatrics | 2.71% |
| Skill | Salary | Salary % Increase |
|---|---|---|
|
Healthcare Services
|
$145,943 |
12%
|
|
Patient Care
|
$143,337 |
10%
|
|
Interpersonal Communication
|
$142,034 |
9%
|
|
Psychiatric
|
$140,730 |
8%
|
|
Planning
|
$139,427 |
7%
|
|
Flexibility
|
$138,124 |
6%
|
Understanding how a Predictive Modeler's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.
Last Updated on May 01, 2026Salaries for a Predictive Modeler can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $116,457 in 2023 to around $109,721 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Predictive Modeler salary trends, .
| Year | Average Annual Salary |
|---|---|
| 2022 |
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|
| 2023 | $116,457 |
| 2024 | $112,915 |
| 2025 | $109,721 |
| 2026 |
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|
| 2027 |
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|
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Compensation PlanningHere are companies hiring for Predictive Modeler and their salaries, click below for more details.
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Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.
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