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Predictive Modeling Jobs in Texas (NOW HIRING)

Berkley

Data Scientist

Houston, TX · On-site

Model Development & Experimentation * Build and evaluate predictive models, comparing performance against benchmarks. * Quantify expected business value, costs, and ROI for proposed solutions.

CoStar

Land.com - Senior Data Scientist

Austin, TX · On-site

This role will focus primarily on expanding AV+ parcel-level land valuation and predictive modeling capabilities in collaboration with internal engineering and product teams. The ideal candidate ...

Berkley

Data Scientist

Houston, TX · On-site

Model Development & Experimentation * Build and evaluate predictive models, comparing performance against benchmarks. * Quantify expected business value, costs, and ROI for proposed solutions.

Berkley

Junior Data Scientist

Houston, TX

Model Development & Experimentation * Build and evaluate predictive models, comparing performance against benchmarks. * Quantify expected business value, costs, and ROI for proposed solutions.

USAA

Model Validator (Mid-Level) - Fraud/AML

Plano, TX · Hybrid

$93K - $179K/yr

Working Experience with statistical, econometric, data science, or predictive modeling approaches including Linear Regression; Time-Series/Forecasting; Logistic Regression; Machine Learning. Business ...

Procore

Staff People Analytics Analyst

Austin, TX · On-site

$61K - $81K/yr

Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you're passionate about turning data ...

Procore

Staff People Analytics Analyst

Austin, TX · On-site

$61K - $81K/yr

Use your expertise in predictive modeling, statistical analysis, and data storytelling to influence strategic decisions and enhance the employee experience. If you're passionate about turning data ...

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All JobsPredictive Modeling JobsPredictive Modeling Jobs in Texas

Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for predictive modeling in Texas is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.61 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Texas? The most popular types of Predictive Modeling jobs in Texas are:
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What job categories do people searching Predictive Modeling jobs in Texas look for? The top searched job categories for Predictive Modeling jobs in Texas are:
What cities in Texas are hiring for Predictive Modeling jobs? Cities in Texas with the most Predictive Modeling job openings:
Predictive Modeling jobs near you

Director, Managed Care Analytics

University Health - San Antonio

San Antonio, TX • On-site

Full-time

Posted 15 days ago

Job description

POSITION SUMMARY/RESPONSIBILITIES

The Director, Managed Care Analytics serves as the enterprise leader for payer analytics, contract modeling, and contract performance optimization. This role is responsible for developing advanced financial, statistical, and predictive models to support managed care contracting strategy, value-based care performance, and revenue optimization. The Director transforms traditional analytics into a modern, AI-augmented decision capability  leveraging automation, machine learning, and advanced data platforms to deliver predictive, prescriptive, and real-time insights across the payer lifecycle. This position collaborates cross-functionally with Patient Business Services, Revenue Integrity, Patient Access, Finance, clinical operations, and IT to ensure data integrity, actionable insights, and strategic alignment, and serves as a trusted advisor to the Vice President, Payer Relations. The Director also contributes to AI governance and the responsible use of data, ensuring transparency, compliance, and appropriate human oversight in analytic and decision-support processes.

EDUCATION/EXPERIENCE

Education

  • Required: Bachelor's Degree in Finance, Healthcare Administration, Data Analytics, Statistics, or a related field.
  • Preferred: Master's degree (MBA, MHA, Health Informatics, Data Science, or equivalent). Graduate-level preparation is strongly preferred for this enterprise analytics leadership role.

Experience

  • 8 or more years of progressive experience in healthcare analytics, decision support, or revenue cycle analytics.
  • 3 to 5 or more years in a leadership or management role.
  • Demonstrated experience leading payer contract modeling and supporting negotiation strategy.
  • Experience with value-based care and alternative payment models.
  • Experience building or modernizing analytics capabilities preferred.

Technical and Functional Expertise

  • Advanced proficiency in Excel and data modeling.
  • Advanced proficiency in BI tools such as Tableau.
  • Experience with healthcare data including claims, clinical records, and EHR data.
  • Experience with contract modeling tools and systems.
  • Working knowledge of AI applications in healthcare analytics.
  • Working knowledge of predictive modeling.

Domain Knowledge

  • Strong working knowledge of Medicare Advantage, Medicaid (including Texas programs), and commercial exchange products.
  • Strong knowledge of reimbursement methodologies and contract structures.
  • Familiarity with data integration challenges in healthcare.

LICENSURE

  • HFMA certification preferred.
  • Epic Resolute expected reimbursement certification required.

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