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Python R Jobs in Houston, TX (NOW HIRING)

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will ...

New

Proficiency in programming languages such as Python, R, or Java. * Experience with data analysis, data mining, and statistical modeling. * Excellent problem-solving and analytical skills. * Ability ...

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 ...

Senior Data Analyst

Katy, TX ยท On-site

$90K - $100K/yr

Experience with Python, R, or other statistical programming languages * Experience with AI-assisted analytics and predictive modeling * Experience using Zoho Analytics, Zoho One applications, or ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

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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 Aug 31, 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?

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 job categories do people searching Python R jobs in Houston, TX look for?

The top searched job categories for Python R jobs in Houston, TX are:

Infographic showing various Python R job openings in Houston, TX as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% In-person job distribution, with an average salary of $116,442 per year, or $56 per hour.

Python/R Analyst

Skillify Solutions

Richmond, TX โ€ข On-site

Other

Posted 3 days ago

New


Job description

Job Description

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will analyze complex datasets, identify meaningful insights, and work with business and technical teams to support data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets using Python and R.
  • Develop data analysis and statistical models to identify trends, patterns, and business insights.
  • Write clean, efficient, and reusable Python and R code for data processing and analysis.
  • Perform data cleaning, transformation, validation, and exploratory data analysis (EDA).
  • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization.
  • Develop dashboards, reports, and visualizations to communicate analytical findings.
  • Work with SQL databases to extract and analyze data.
  • Collaborate with business stakeholders, data engineers, and technical teams to understand requirements.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Ensure data quality, accuracy, and consistency across analytical outputs.

Required Qualifications

  • 3+ years of professional experience with Python.
  • 3+ years of professional experience with R.
  • Strong experience with Pandas, NumPy, Matplotlib, and Seaborn.
  • Strong knowledge of R, Tidyverse, dplyr, and ggplot2.
  • Strong SQL skills and experience working with relational databases.
  • Experience with data cleaning, manipulation, and exploratory data analysis.
  • Strong understanding of statistics and data analysis techniques.
  • Experience creating data visualizations and analytical reports.
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder-management skills.

Preferred Qualifications

  • Experience with Machine Learning and predictive analytics.
  • Experience with Scikit-learn or other Python ML libraries.
  • Experience with R Shiny.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Tableau or Power BI.
  • Experience working in Agile/Scrum environments.