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Data Science And Analytics Jobs in Texas (NOW HIRING)

Techvilla Solutions

Data Scientist

Hutchins, TX

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 ...

Techvilla Solutions

Data Scientist

Desoto, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Highland Park, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Garland, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Farmers Branch, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Highlands, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Addison, TX · On-site

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 ...

Techvilla Solutions

Data Scientist

Irving, TX · On-site

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 ...

CornerStone Staffing

Data Science Analyst

Dallas, TX · On-site

$30 - $35/hr

Data Science Analyst Turn Complex Data Into Better Services, Smarter Decisions, and Measurable Results LOCATION Dallas, TX | Onsite COMPENSATION * $30-$35.00 per hour ROLE IMPACT Support data-driven ...

New

SOSi

Data Scientist

El Paso, TX

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SOSi

Data Scientist

El Paso, TX · On-site

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

SOSi

Data Scientist

El Paso, TX

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Texas

Data Science And Analytics information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities in Texas are hiring for Data Science And Analytics jobs?

Cities in Texas with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Scientist

Techvilla Solutions

Hutchins, TX

Full-time

Posted 9 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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