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Python R Jobs in Houston, TX (NOW HIRING)

Strong programming skills in languages such as Python, R, or Scala. * Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Proficiency in data ...

Strong programming skills in languages such as Python, R, or Scala. * Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Proficiency in data ...

... Python, R, JS,HTML etc. โ€ข Partner with architecture teams to ensure end-user reporting needs are met by the existing data warehouse platform. โ€ข Research, recommend, develop, train functional ...

Data Architect

Houston, TX ยท On-site

$61 - $78.25/hr

Strong proficiency in Python, R, SQL, C++, PowerShell. * Experience in Business Intelligence, Power BI, Spotfire, * Experience with data modeling and database design * Familiarity with data ...

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Python R information

See Houston, TX salary details

$12

$55

$82

How much do python r jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python r in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python R job?

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 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 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 most commonly searched types of Python R jobs in Houston, TX? The most popular types of Python R jobs in Houston, TX are:

Full-time

Posted 23 days ago


Job description

Overview:
Gen AI Architect
  • Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3).
  • Knowledge of fine-tuning GenAI models for specific tasks and industries.
  • Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI.
  • Familiarity with techniques for training and deploying GenAI models.
  • Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
  • Strong programming skills in languages such as Python, R, or Scala.
  • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).