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Predictive Modeling Jobs in Dallas, TX (NOW HIRING)

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 ...

Toyota

Data Scientist

Plano, TX · On-site +1

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 ...

Infosys

Gen/Agentic AI Engineer

Irving, TX · On-site

As a Data Science Consultant 2, you will develop predictive models and analytics solutions, ensuring data readiness and optimizing algorithms for performance while collaborating with stakeholders to ...

At Home Stores

VP, Analytics

Coppell, TX · On-site +1

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 ...

At Home Stores LLC

VP, Analytics

Coppell, TX · On-site

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 ...

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

Designs and develops machine learning, predictive modeling, and reinforcement learning solutions for healthcare optimization and intelligent decision systems. * Builds and operationalizes production ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Responsibilities : • Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and ...

Triumph

Director of Data Science

Dallas, TX · On-site

Responsibilities : • Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and ...

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Predictive Modeling information

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$10

$58

$82

How much do predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for predictive modeling in Dallas, TX is $58.33, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $67.84 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 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 job categories do people searching Predictive Modeling jobs in Dallas, TX look for? The top searched job categories for Predictive Modeling jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Predictive Modeling jobs? Cities near Dallas, TX with the most Predictive Modeling job openings:
Predictive Modeling jobs near you
Sr. Data Analyst

Sr. Data Analyst

Service Experts

Richardson, TX • On-site

$78K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 hours ago

Service Experts rating

6.4

Company rating: 6.4 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

169th of 223 rated repair and maintenance companies

Job description

Welcome!
Location Name: Richardson, TX (Hybrid)
Join the team of experts and realize your true potential!
Why You Should Join the Service Experts Team? Our team consists of the very best; we believe in doing what is right for our customers and our employees. We provide our employees with training support and an opportunity for unlimited professional growth. Join us and become an EXPERT!
Position Summary:
We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master's degree in Analytics, Data Science, Statistics, or a related quantitative field to join our team. This role is critical for driving improved business performance through advanced statistical and machine learning analytics, predictive modeling, and strategic data visualization. The Senior Analyst will collaborate closely with business leaders and product teams to transform complex data into actionable insights, and will serve as a technical mentor to elevate team performance.
Key Responsibilities:
I. Advanced Data Analytics (~65% of Time)
  • Consultation & Strategy: Consult with business leaders to drive improved business performance through advanced statistical analysis, machine learning techniques, and operational research.
  • Model Development & Enhancement: Provide prescriptive and predictive analytics expertise to support stakeholders in identifying opportunity areas, building robust models, and deploying data-driven solutions.
  • AI/ML Tool Utilization: Leverage AI-assisted development tools such as Microsoft Copilot, Databricks AI, and similar platforms to accelerate model development, code generation, and insight delivery.
  • Statistical Testing: Design and execute rigorous statistical tests (A/B testing, hypothesis testing, regression analysis, significance testing) to validate findings and support data-driven decisions.
  • Data Sourcing & Integration: Research, identify, and integrate new data sources and analytics pipelines to support strategic analyses and enhance existing models.

II. Communication & Influence (~25% of Time)
  • Communication & Storytelling: Develop compelling presentations, reports, and narrative documents that translate complex analytical results and model outputs into clear, actionable business stories for diverse audiences - from frontline teams to executive leadership.
  • Collaboration: Partner within cross-functional product teams to deliver and communicate outputs of advanced analyses in support of business priorities and product optimization.
  • Organizational Influence: Drive adoption of data-driven decision-making across the organization, advocating for best practices in model consumption, insights application, and analytical rigor.

III. Team Mentoring & Development (~10% of Time)
  • Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts, conducting code reviews, sharing best practices, and supporting skill development in analytics and AI/ML.
  • Knowledge Sharing: Lead internal knowledge-sharing sessions, document reusable frameworks, and contribute to building a stronger analytical culture within the team.

Required Qualifications:
  • Experience: 4+ years of professional experience in advanced data analysis, machine learning, or a related analytics role.
  • Education: Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative field required.
  • Technical Skills:
  • Expert proficiency in Python for data analysis and modeling
  • Strong experience with Databricks or similar distributed computing/cloud platform.
  • High proficiency in reporting tools (e.g., PowerBI).
  • Analytical Skills: Expertise in statistical analysis, predictive modeling, machine learning algorithms, and data manipulation (e.g., SQL).
  • Business Acumen: Strong understanding of business performance drivers and the ability to translate technical findings and complex models into clear business implications.
  • Communication: Excellent verbal and written communication skills with the ability to present complex data and model concepts clearly to executive leadership.
  • Mentoring: Demonstrated ability to mentor peers, conduct code reviews, and contribute to team skill development.
  • AI/ML Tools & Prompting Expertise: Demonstrated experience using AI assisted development tools (e.g., Microsoft Copilot, Databricks AI, or similar platforms), including the ability to craft effective prompts to accelerate model development, code generation, analysis workflows, and insight delivery.

What Do We Offer You as a Service Experts Employee? Service Experts offers a comprehensive benefits package designed to support employees and their families in managing their health and wellness needs, including:
  • Competitive Pay with incentive opportunities
  • Paid Time Off and Company Holiday Pay
  • Medical, Dental, and Vision Insurance programs
  • 401(k) Retirement Savings Plan with company matching contributions
  • Life Insurance and disability insurance options
  • Supplemental benefit programs
  • World Class Training opportunities through our Experts University
  • Career Development opportunities

Service Experts Heating & Air Conditioning is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The job description is not intended to be a complete list of all responsibilities, duties, or skills required for the job and is subject to review and change at any time with or without notice in accordance with the needs of Service Experts.
Service Experts is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations upon request for individuals to participate in the application and hiring process. To request an accommodation please email talentacquisition@serviceexperts.com
Preferred Experience: 6 years and Bachelor's Degree OR 4 years and Master's degree
Service Experts Heating & Air Conditioning is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Service Experts.
Service Experts is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation, please email talentacquisition@serviceexperts.com

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About Service Experts

Sourced by ZipRecruiter

Service Experts, based in Plano, Texas, US, is an industry leader in the HVAC (Heating, Ventilation, Air Conditioning) sector with a commitment to providing top-tier service for home comfort. Their offerings cover a broad range of services such as repair, maintenance, and installation of heating and air conditioning systems. Established in 1996, the company has demonstrated consistent growth and expansion, boasting a network of over 100 service centers across North America. Their mission is simple yet powerful: to provide excellence in home comfort. Service Experts has emerged as a trusted choice in the market due to their adherence to core values of integrity, innovation, excellence, and commitment.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Plano, TX, US

Year founded

1996

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