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Predictive Modeler Jobs in Houston, TX (NOW HIRING)

Frost Bank

Insurance Actuarial Analyst

Houston, TX · On-site

Experience with predictive modeling, simulation, and analytics tools * Excellent written and verbal communication skills * Demonstrated ability to lead teams, manage projects, and influence ...

Innotech

Data Scientist

Houston, TX · On-site

$12K - $78K/yr

Advanced experience in pattern recognition and predictive modeling * Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) * Ability to work effectively in ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics. * Develop data pipelines, feature ...

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Predictive Modeler information

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$9

$56

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How much do predictive modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for predictive modeler in Houston, TX is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $65.19 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 is a predictive modeler?

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.
Predictive Modeler jobs near you
Infographic showing various Predictive Modeler job openings in Houston, TX as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,624 per year, or $56.1 per hour.

Assistant Professor - Artificial Intelligence and Data Scientist

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 24 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities

Job description

Summary

The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor – Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.

Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.

Job Duties
  • Oversee and coordinate logistics and execution of various research projects.
  • Manage project progress and execution of project goals and milestones.
  • Plan and direct research experiments.
  • Organize, evaluate, and analyze data with other researchers.
  • Develop research techniques and perform applications required for specific research projects.
  • Conduct literature searches and summarize information in an appropriate format for a particular study.
  • Document results of experiments and reports to principal investigators.
  • Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.
  • Write progress reports, manuscripts and grant proposals.
  • Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.
  • Supervise research staff including graduate and undergraduate students.
Minimum Qualifications
  • Ph.D. in computer science, data science, medical informatics, or related field.
  • Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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