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Predictive Modeling Jobs in Texas (NOW HIRING)

Inizio Partners

Data Scientist

Dallas, TX

$90K - $110K/hr

The role requires a strong understanding of statistical inference, causal analysis, and predictive modeling to help translate business questions into rigorous analytical solutions. The candidate ...

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 ...

Alcon

Sr. Manager, Analytics & Insights

Fort Worth, TX · On-site

... predictive modeling, and statistical analysis to extract insights. Qualifications : Required : • Bachelor's degree or equivalent years of directly related experience (or high school +15 yrs; Assoc. ...

Service Experts

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

Model Development & Enhancement: Provide prescriptive and predictive analytics expertise to support stakeholders in identifying opportunity areas, building robust models, and deploying data-driven ...

Virtuous Tech Inc

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

If you are an active job seeker passionate about scalable data pipelines, predictive modeling, and cutting-edge AI infrastructure, we want to connect with you. Core Responsibilities: * Design ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Model Development & Enhancement: Provide prescriptive and predictive analytics expertise to support stakeholders in identifying opportunity areas, building robust models, and deploying data-driven ...

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

This role builds the infrastructure and analytics models that convert raw data into actionable insights - supporting business intelligence, predictive modeling, and strategic initiatives across ...

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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.
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Predictive Modeling jobs near you

Data Scientist

Inizio Partners

Dallas, TX

$90K - $110K/hr

Full-time

Posted 25 days ago

Job description

About the Job

The Data Science team partners with marketing, analytics, and digital optimization teams to develop advanced analytical solutions that improve marketing effectiveness and customer engagement.

This role focuses on applying statistical modeling, experimentation, and machine learning techniques to understand customer behavior across the marketing and digital customer journey. Insights generated from this work help guide marketing strategy, customer targeting, and investment decisions.

The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models.

Job Description

We are seeking a Senior Data Scientist with strong statistical expertise to develop analytical frameworks, predictive models, and experimentation strategies that support marketing optimization and customer journey analysis.

The role requires a strong understanding of statistical inference, causal analysis, and predictive modeling to help translate business questions into rigorous analytical solutions. The candidate should be comfortable working with large datasets, building scalable models, and communicating analytical insights to cross-functional teams.

This position requires collaboration with marketing strategy, digital optimization, and analytics teams to ensure analytical insights are effectively integrated into business decision-making.

Responsibilities

  • Develop statistical and machine learning models to analyze customer behavior across marketing and digital channels.
  • Conduct deep analytical investigations to identify drivers of customer acquisition, engagement, conversion, and retention.
  • Design and evaluate marketing experiments and A/B tests to measure campaign effectiveness and customer impact.
  • Apply causal inference techniques to distinguish correlation from true causal effects in marketing and customer data.
  • Translate business questions into statistical analysis frameworks and modeling approaches.
  • Connect analytical insights to business outcomes including revenue growth, marketing efficiency, and cost optimization.
  • Build scalable analytical pipelines using Python and SQL.
  • Query and analyze large datasets within Amazon Redshift.
  • Develop and deploy predictive models using AWS SageMaker.
  • Maintain version-controlled analytical workflows using AWS CodeCommit.
  • Collaborate with marketing, analytics, and engineering teams to ensure analytical solutions support business strategy and operational decision-making.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.

Qualifications

  • Master's degree in Statistics or a related quantitative discipline such as econometrics, applied mathematics, operations research, or data science.
  • Strong proficiency in Python for statistical analysis and modeling.
  • Strong proficiency in SQL for large-scale data querying.
  • Experience working with large datasets and advanced analytical methods.
  • Preferred experience includes:
  • Experience in marketing analytics, customer analytics, or digital analytics.
  • Experience designing and evaluating A/B tests and controlled experiments.
  • Knowledge of causal inference methods and experimental design.
  • Experience building production-ready machine learning models.
  • Familiarity with AWS analytics and machine learning tools, including Amazon Redshift and AWS SageMaker.
  • 0-3 years experience
  • Prefer candidates in West Coast or Mid-west