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Python R Jobs in Texas (NOW HIRING)

Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on experience with AI agents and LLMs - Preferred. * Showcase a successful history of leading impactful data ...

... Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around ...

Writes code of moderate to high complexity using SQL, Python, R or similar to query, calculate, transform, combine and visualize data. * Performs EDA to verify adequacy of data for task and performs ...

Python, R, SQL, LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines. Good to have skills: * 2-4 years working in manufacturing domain. * Experience in shop floor operations, production ...

$102K - $123K/yr

Build and implement models using tools such as Python, R, SQL, and JavaScript * Apply modern approaches including natural language processing (NLP), deep learning, and predictive modeling * Develop ...

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic ...

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies * Experience telling a story through data and building visualizations and dashboards that can be ...

Showing results 21-40

Python R information

See Texas salary details

$12

$54

$80

How much do python r jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python r 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 R?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Python R position, and why are they important?

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

What are the most commonly searched types of Python R jobs in Texas? The most popular types of Python R jobs in Texas are:
What cities in Texas are hiring for Python R jobs? Cities in Texas with the most Python R job openings:
Infographic showing various Python R job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $113,599 per year, or $54.6 per hour.

Full-time

Posted 28 days ago


Job description

Data Scientist
Plano, TX(Onsite)
Contract
Programming: Proficiency in Python, R, and SQL.
Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.
Core Roles and Responsibilities
Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability.
Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends.
Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization.
Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.
Collaboration and Strategy: Working with business leaders to identify goals, define problems, and suggest data-driven improvements.
Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
+8
Communication: Ability to translate complex data insights into clear business strategies