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Python R Developer Jobs in District of Columbia (NOW HIRING)

... engineering, with at least a portion of experience within the last 2 years * Deep understanding and experience using Python, R, and/or SQL * Prior experience with large data, multi-INT analytics ...

... engineering, with at least a portion of experience within the last 2 years * Deep understanding and experience using Python, R, and/or SQL * Prior experience with large data, multi-INT analytics ...

... or engineering, with at least a portion of experience within the last 2 years • Deep understanding and experience using Python, R, and/or SQL • Prior experience with large data, multi-INT ...

... engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations. • Collaborate with cross-functional ...

Perform exploratory data analysis, feature engineering, statistical analysis, and model validation. * Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related ...

Perform exploratory data analysis, feature engineering, statistical analysis, and model validation. * Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related ...

Expert proficiency in Python or R for data science development; experience with additional programming languages * Production deployment experience: Demonstrated ability to build, deploy, and ...

Showing results 41-60

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.

What cities in District of Columbia are hiring for Python R Developer jobs?

Cities in District of Columbia with the most Python R Developer job openings:

Infographic showing various Python R Developer job openings in District of Columbia as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Artificial Intelligence and Machine Learning Specialist

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

Job Description: Artificial Intelligence and Machine Learning SpecialistLocation: Washington DC, DC, 20001 (On-site)

We are seeking an experienced Artificial Intelligence and Machine Learning Specialist to join our team. The ideal candidate will have a strong background in computer science, mathematics, and statistics, as well as experience in developing and implementing AI and ML solutions.

Responsibilities:
  • Design and develop AI and ML models and algorithms
  • Implement and deploy AI and ML solutions
  • Collaborate with cross-functional teams to identify and solve business problems using AI and ML
  • Stay up-to-date with the latest AI and ML technologies and trends
  • Provide technical guidance and mentorship to junior team members
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • Minimum of 5 years of experience in developing and implementing AI and ML solutions
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.