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Predictive Analytics Jobs in Dallas, TX (NOW HIRING)

Techvilla Solutions

Data Scientist

Dallas, TX

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

Service Experts

Lead Data Analyst

Richardson, TX

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:

Service Experts

Lead Data Analyst

Richardson, TX · On-site

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:

Kraft Heinz

Predictive Maintenance Technician

Garland, TX

$17.50 - $24/hr

... predictive technologies and techniques. This position also has strong functional ties to the ... Motor Circuit Analysis (MCA) Perform off-line quality acceptance testing on new motors Perform ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

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:

Service Experts

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

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:

Socket.dev

Data Scientist

Dallas, TX · On-site

$112.50 - $137.50/hr

Analyze predictive model outputs to generate meaningful insights that inform WellTower's investment and operational processes. Enhance data collection and transformation procedures to ensure ...

Intangles Lab

Enterprise Sales Director

Dallas, TX · On-site

$90 - $120/hr

Sales Expertise: 10+ years of successful sales experience, ideally in SaaS, Fleet Management, predictive analytics, IoT, Telematics or Enterprise AI-driven solutions. * Business Development Skills:

Sonoma Consulting Inc.

BI Analytics Consultant

Dallas, TX · On-site

$47.50 - $65/hr

Solid understanding of predictive analytics, data management, business intelligence and data analytics concepts. Five years of experience developing and automating platform administration with ...

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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.

Data Scientist

Techvilla Solutions

Dallas, TX

Full-time

Posted 4 days ago

Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.

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