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Predictive Modeler Jobs (NOW HIRING)

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site

$200K - $320K/yr

What You Will Do • Lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring. • Maintain ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site +1

What You Will Do Lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring. Maintain model ...

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How much do predictive modeler jobs pay per hour?

As of Jun 2, 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.

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.

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.

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 May 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.
Business Analytics Lead - Predictive Modeling

Business Analytics Lead - Predictive Modeling

Twin Health

New York, NY • On-site, Remote

$130K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Opportunity

This role is a unique opportunity to directly influence how a leading health-tech company scales. You won't just analyze data; you'll build the tools that shape our strategy. 

As a Lead Analyst, you'll own end-to-end analytics in business critical areas like connecting clinical outcomes to LTV. You will take these projects from data extraction through modeling and communication of results to senior leadership. Additionally, you'll work with large and complex datasets to develop novel KPIs as Twin expands its lines of business. This is an opportunity to apply technical skill and business intuition in a highly visible role, while collaborating with leaders across finance, product, and operations teams.

Responsibilities 

  • Develop and Implement Predictive Models to optimize core business operations, such as forecasting member-level revenue or predicting clinical resource demand (staffing optimization).
  • Focus on Prescriptive Analytics by designing solutions (e.g., optimization algorithms, simulation models) that recommend the most cost-effective and efficient actions for clinical operations and member support teams.
  • Define key business KPIs, establish operational dashboards, and create automated reports that provide real-time visibility into business health and efficiency.
  • Lead the Design and Analysis of A/B Tests and quasi-experiments focused on operational improvements (e.g., messaging frequency, or service delivery models).
  • Other duties as assigned

Qualifications 

  • Background: Bachelor's degree in Data Science,Statistics, Econometrics or a related field (Master's preferred).
  • Forecasting Expertise: Direct experience building and validating predictive models (e.g., churn, LTV, demand forecasting) and prescriptive models (e.g., resource allocation, pricing optimization).
  • Technical Proficiency: Advanced skills in SQL and statistical programming (Python or R). Must have experience building and maintaining BI dashboards.
  • Data Strategy & Collaboration: Proven ability to work cross-functionally with Engineering/Data Engineering teams to define and refine data structures necessary for complex modeling.
  • Innovation & AI Mindset: Demonstrated interest and foundational knowledge regarding the application of Agentic AI or advanced machine learning to enhance predictive modeling and business intelligence.
  • Passion: Twin's purpose to transform lives by empowering people to reverse, prevent and improve chronic metabolic diseases excites you.
  • This hybrid opportunity is based out of our New York, NY office. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation and Benefits  

The compensation range for this position is $130,000 - $140,000 annually. 

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

  • A competitive compensation package in line with leading technology companies
  • A remote and accomplished global team
  • Opportunity for equity participation 
  • Unlimited vacation with manager approval
  • 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
  • 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
  • 401k retirement savings plan

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