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Predictive Modeling Jobs in Dallas, TX (NOW HIRING)

Data Scientist

Plano, TX · On-site

$110 - $150/hr

Solid grounding in statistical and ML methods (regression, time series, predictive modeling, tree‑based methods, neural networks, etc.) * Experience with SQL for data extraction and manipulation

Develop predictive models from scratch, including data preparation, feature engineering, training, validation, testing, and optimization. * Build and apply regression models for forecasting ...

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 ...

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

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

Use predictive modeling to increase and optimize member experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality.

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 ...

Use predictive modeling to increase and optimize member experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality.

This role is ideal for someone who will thrive working at the intersection of computational science, predictive modeling, and business consulting. The ideal candidate will excel at analysis ...

Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage ...

Use predictive modeling to increase and optimize member experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality.

Advanced Analytics, AI & Predictive Modeling Develop and scale advanced analytics, predictive modeling, and AI capabilities to unlock business value and support strategic decisions. Create models ...

Showing results 21-40

Predictive Modeling information

See Dallas, TX salary details

$10

$58

$82

How much do predictive modeling jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for predictive modeling in Dallas, TX is $58.08, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $67.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, 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 predictive modeling?

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 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 are popular job titles related to Predictive Modeling jobs in Dallas, TX?

For Predictive Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Predictive Modeling jobs?

Cities near Dallas, TX with the most Predictive Modeling job openings:

Infographic showing various Predictive Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $120,808 per year, or $58.1 per hour.

Data Scientist

CCS INC

Plano, TX • On-site

$110 - $150/hr

Other

Medical, Dental, Vision

Posted 4 days ago


Job description

Benefits

  • Dental insurance

  • Health insurance

  • Vision insurance


About the Role

We're looking for a Data Scientist who can turn complex data into clear, actionable insights and help us move models from idea to production.


Qualifications

  • Master's degree (or higher) in a quantitative field, or equivalent professional experience

  • Strong Python skills, with hands‑on experience in libraries like scikit‑learn, statsmodels, or PyTorch

  • Solid grounding in statistical and ML methods (regression, time series, predictive modeling, tree‑based methods, neural networks, etc.)

  • Experience with SQL for data extraction and manipulation

  • Familiarity with version control (Git) and CI/CD for model deployment

  • Comfort working in cloud ML environments (AWS SageMaker, Azure ML, or similar)

  • A track record of applying data science to real business problems, not just academic settings

  • Strong communication skills — able to translate technical findings for non‑technical audiences

  • Experience modernizing legacy data infrastructure is plus

  • History of driving cross‑team initiatives without direct authority is preferred


Responsibilities

  • Partner with business stakeholders to identify high‑impact questions and translate them into data‑driven answers

  • Clean, prepare, and analyze data from multiple sources

  • Build and deploy predictive/prescriptive models that solve real business problems

  • Communicate findings through clear visualizations and reporting
  • Ship models to production within our cloud infrastructure

  • Contribute to planning and prioritization of data initiatives

  • Keep current with new tools and techniques in the field

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