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Python Data Science Jobs in Texas (NOW HIRING)

Role: Data Scientist Engineer Location: Dallas, TX Contract: 12-24 Months What You Will Do ... Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Showing results 21-40

Python Data Science information

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How much do python data science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for python data science in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What are the most commonly searched types of Python Data Science jobs in Texas?

The most popular types of Python Data Science jobs in Texas are:

What cities in Texas are hiring for Python Data Science jobs?

Cities in Texas with the most Python Data Science job openings:

Infographic showing various Python Data Science 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 $113,599 per year, or $54.6 per hour.

Data Science Architect

Dallas, TX • On-site

Mars Technominds Inc
IT Services • 51 - 200 employees

Other

Posted 13 days ago


Job description

 We are looking for Data Scientist Engineer    @ Dallas, TX – Hybrid on a Contract basis. Please let me know if you would be interested.

 

Role: Data Scientist Engineer  

Location: Dallas, TX

Contract: 12-24 Months

What You Will Do: 

  • Design and develop data visualizations using tools such as PowerBI, Tableau, or similar platforms to communicate insights effectively. 
  • Perform data analysis on large, complex data sets, generating actionable reports and recommendations. 
  • Utilize experience with various databases for data input, report generation, and data management. 
  • Apply machine learning algorithms for data cleaning, exploratory data analysis, and data visualization. 
  • Implement data reduction, feature selection, and feature engineering techniques to provide metrics that support evidence-based decision-making. 
  • Automate processes to enhance efficiency and scalability in handling large datasets. 
  • Collaborate with engineering teams to communicate findings and address technical challenges. 
  • Conduct analysis at all phases of the system lifecycle, including concept, design, modeling, testing, operation, and maintenance. 
  • Interface with stakeholders, including customers, programming management, and senior leadership, to support data-driven strategies. 
Qualifications You Must Have: 
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 2 years of prior relevant experience 
  • Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical and/or machine learning applications (beyond academic examples). 
  • Databases management and SQL development. 
  • Experience with software development, including documentation, testing, bug tracking, version control, and MLOps 
  • Active and transferable U.S. government issued DoD Top Secret security clearance is required prior to start date.
Qualifications We Prefer:   
  • Active DoD Top Secret clearance with investigation within five years 
  • Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred) 
  • Programming languages and tools such as Python, scikit-learn, Jupyter, SQL (Microsoft SQL, MySQL), Tableau, and R. 
  • Model Based Systems Engineering (Cameo Enterprise Architecture (SysML specifically), digital thread concepts, digital engineering, MBSE with DevSecOps). 
  • Diagnoses and resolve RF and system power issues 
  • MATLAB/Simulink, DOORS, DNG, Cameo, Jira, and Confluence

Thanks ,

Seema Kousar

IT Recruiter