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Predictive Analytics Jobs in Dallas, TX (NOW HIRING)

Hearst

Data Insights Specialist

Dallas, TX · On-site +1

Data Insights Specialist This role will be part of our Data Analytics team, which is responsible for internal company analytics, as well as client facing descriptive and predictive analytics products.

CYNET SYSTEMS

Asset Protection Data Analyst

Dallas, TX · On-site

$31/hr

Knowledge of exception-based and predictive analytics. * Exhibit excellent verbal and written communications skills. * Work independently and exercise sound judgment. * Analyzing business reports ...

PNC Bank

Business Analytics Specialist

Dallas, TX

$52K - $96K/yr

Assists senior consultants on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts. PNC Employees take pride in our reputation and to ...

Techvilla Solutions

Data Scientist

Cockrell Hill, TX · On-site

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in time-series ...

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All JobsPredictive Analytics JobsPredictive Analytics Jobs in Dallas, TX

Predictive Analytics information

See Dallas, TX salary details

$26.7K

$111.6K

$198.4K

How much do predictive analytics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for predictive analytics in Dallas, TX is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $121,700.00 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 is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

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 do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

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 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 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, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.

Lead Data Scientist - Healthcare

Tiger Analytics Inc.

Dallas, TX • Remote

Full-time

Posted 18 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

  • Lead the design, development, and enhancement of forecasting models to improve prediction accuracy and business outcomes.
  • Build and deploy advanced Deep Learning models for large-scale structured and unstructured datasets.
  • Develop Generative AI / Explainable AI solutions to provide transparent and interpretable insights from predictive models.
  • Analyze healthcare datasets including claims, patient, provider, operational, or clinical data.
  • Collaborate with business stakeholders, product teams, and engineering teams to translate business challenges into scalable AI solutions.
  • Monitor model performance, retrain models, and optimize algorithms for production environments.
  • Mentor junior data scientists and provide technical leadership across the project.
  • Ensure compliance with healthcare data privacy and governance standards.

Requirements

  • 8–10 years of experience in Data Science / Machine Learning roles.
  • Strong hands-on expertise in Forecasting models (time series, demand forecasting, predictive analytics).
  • Experience with Deep Learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience building Generative AI / Explainability models using LLMs, SHAP, LIME, or similar frameworks.
  • Mandatory experience working in the Healthcare domain.
  • Strong programming skills in Python, SQL, and ML libraries.
  • Experience with cloud platforms such as AWS, Azure, or GCP preferred.
  • Excellent stakeholder communication and leadership skills.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.