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Predictive Modeler Jobs (NOW HIRING)

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision‑making. You will work closely with ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101K - $137K/yr

Design, architect, and maintain robust, scalable predictive modeling data pipelines across our data science ecosystem. * Design, develop, and maintain internal tooling that accelerates productivity ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101K - $137K/yr

Design, architect, and maintain robust, scalable predictive modeling data pipelines across our data science ecosystem. * Design, develop, and maintain internal tooling that accelerates productivity ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Design, architect, and maintain robust, scalable predictive modeling data pipelines across our data science ecosystem. * Design, develop, and maintain internal tooling that accelerates productivity ...

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Predictive Modeler information

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$10

$58

$83

How much do predictive modeler jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for predictive modeler in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are predictive modelers?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

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

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
More about Predictive Modeler jobs
What cities are hiring for Predictive Modeler jobs? Cities with the most Predictive Modeler job openings:
What states have the most Predictive Modeler jobs? States with the most job openings for Predictive Modeler jobs include:
What are popular job titles related to Predictive Modeler jobs? For Predictive Modeler jobs, the most frequently searched job titles are:
Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.
Actuarial Consultant, Predictive Modeling - Remote

Actuarial Consultant, Predictive Modeling - Remote

D.W. Simpson

Potomac, MD • On-site, Remote

Full-time

Posted 5 days ago

Job description

Job Description
This is a real chance for you to progress in your career. Fast-growing property & casualty actuarial consulting firm is in search of an Actuarial Consultant, Predictive Modeling. This individual will evaluate highly complex statistical models contained in rate filings from numerous companies in many states. The ideal candidate would be an ACAS or FCAS with CSPA as a plus. (#57835)
Location:
  • Remote

Meet Your Recruiter
Arturo Aguilera
Director, Social Media & Marketing
Arturo joined DW Simpson in 2017 and is currently the Social Media Specialist. He is in charge of running and maintaining DW Simpson's social media presence, increasing brand awareness and improving marketing efforts.
Arturo attended Columbia College Chicago where he graduated with a BFA in Advertising Art Direction. He enjoys attending concerts, dive bars, and art museums.
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  • arturo.aguilera@dwsimpson.com
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About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989

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