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Python R Developer Jobs in Texas (NOW HIRING)

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in ... Collaborate with business stakeholders, data engineers, and technical teams to understand ...

Sarian Solutions

R + Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Job Title: R + Python Developer Location: Plano, TX Duration: Full-Time 5+ years of application programming experience 2+ years of Hands on experience in python development 2+ years of Hands on ...

IT America Inc

ML Engineer

Plano, TX · On-site

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. * Build and maintain AI pipelines, from data processing to model deployment. * Analyze ...

Baylor College of Medicine

Intern/Aide - Part-time

Houston, TX · On-site

$14.25 - $19/hr

The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster ... Strong skills in computer science and programming (algorithm implementation, data structure, and ...

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

MLOps Engineer Location: Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key ... Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting. With Regards, Chanakya | Sr. IT ...

MSR Cosmos

SAS Developer

Dallas, TX · On-site

Familiarity with other programming languages such as Python, R, or Java. * Experience with data visualization tools. * Knowledge of Agile methodologies. * Experience in cloud computing platforms.

PROLIM Global Corporation

Data Scientist

Plano, TX · On-site

San Antonio, TX / Plano, TX - onsite Duration: 6 months GBaMS ReqID: 10583538 Data Scientists Programming: Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of ...

Northern Base

AI Engineer

Irving, TX · On-site

$120K - $130K/yr

LLMs; prompt engineering; RAG; autonomous decision frameworks ... Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on ...

RIT Solutions, Inc.

power bi developer

Dallas, TX · On-site

... Proficiency in Python, R, and other programming Company : Jobdiva Job Portal: Recruitment ... contingency search and campus selection). Founded in 2019, the company is headquartered in ...

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Python R Developer information

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Python/R Analyst

Richmond, TX • On-site

Skillify Solutions
See more jobs at Skillify Solutionsexternal

Other

Posted 13 days ago

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.

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