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Predictive Analytics Jobs in Dallas, TX (NOW HIRING)

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

RSM

Talent Analytics Sr Analyst (Location Flexible)

Dallas, TX · On-site

$87K - $115K/yr

Advanced Predictive Analytics & Modeling: Contribute to predictive models using machine learning and natural language processing techniques. Your work will directly contribute to strategic decision ...

Ra

Customer Analytic Manager

Dallas, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Irving, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Wissen Infotech

Azure Data Architect

Irving, TX · On-site

$61 - $79.50/hr

Your expertise in cloud computing, data modeling, and predictive analytics will be essential in this role. Responsibilities: * Design and setup Azure Data Factory (ADF) and Microsoft Fabric for data ...

New

PepsiCo

Marketing Data & Analytics Director

Plano, TX · On-site

$132K - $262K/yr

This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross ...

PepsiCo

Marketing Data & Analytics Director

Plano, TX

$132K - $262K/yr

This role leads a team responsible for advanced analytics, executive reporting, dashboard strategy, predictive modeling, and data-driven problem solving across the Walmart business. Working cross ...

AT and T

Director-Advanced Analytics

Dallas, TX · On-site

By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics, and AI-enabled decision intelligence, this leader will establish the trusted source of causal truth ...

AT&T

Director-Advanced Analytics

Dallas, TX

By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics, and AI-enabled decision intelligence, this leader will establish the trusted source of causal truth ...

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Predictive Analytics information

See Dallas, TX salary details

$26.8K

$112K

$199.2K

How much do predictive analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for predictive analytics in Dallas, TX is $111,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $122,200.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

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

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Dallas, TX?

The most popular types of Predictive Analytics jobs in Dallas, TX are:

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

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

What job categories do people searching Predictive Analytics jobs in Dallas, TX look for?

The top searched job categories for Predictive Analytics jobs in Dallas, TX are:

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

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

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $111,509 per year, or $53.6 per hour.

Predictive Analytics Engineer

Dallas, TX • On-site

Select Minds LLC
IT Services • 51 - 200 employees
Learn more about Select Minds LLCexternal

Full-time

Re-posted 3 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Data Scientist / Predictive Analytics Engineer
Location: Dallas, TX (Hybrid, 3 days onsite per week)
Employment Type: Full-Time / Contract (W2)
Duration: Long-Term
Work Authorization: Open to candidates authorized to work in the U.S.
Interview Process: Video Interview followed by Client Interview
We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.
The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.
will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.
Key Responsibilities
* Collect, clean, and integrate structured and unstructured data from multiple sources.
* Build, train, validate, and deploy machine learning models for predictive analytics.
* Design and execute A/B testing and statistical experiments to optimize products and business processes.
* Develop automated dashboards and reports to monitor KPIs and business performance.
* Perform exploratory data analysis to identify trends, patterns, and opportunities.
* Present analytical findings and recommendations to technical and non-technical stakeholders.
* Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
* Optimize existing data science workflows and improve model performance.
* Ensure data quality, governance, and best practices throughout the analytics lifecycle.

Required Skills
* 2+ years of professional experience as a Data Scientist.
* Strong programming skills in Python or R.
* Advanced SQL skills with experience querying complex relational databases.
* Hands-on experience with machine learning frameworks such as:
    * Scikit-Learn     * TensorFlow    * PyTorch
* Experience with statistical modeling, predictive analytics, and feature engineering.
* Strong understanding of:
    * Regression Analysis    * Hypothesis Testing    * Probability & Statistics
* Experience with data visualization tools such as:
    * Tableau   * Power BI   * Matplotlib
* Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Knowledge of data pipelines, ETL processes, and big data technologies.
* Experience with MLOps, model deployment, and monitoring is a plus.
* Familiarity with version control systems such as Git.
Education
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.
Why Join Us?
* Work on impactful machine learning and AI initiatives.
* Hybrid work environment in Dallas, TX.
* Collaborative, data-driven culture.
* Opportunity to work with modern analytics and cloud technologies.
* Competitive compensation and career growth opportunities.

Flexible work from home options available.