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Python R Developer Jobs in Georgia (NOW HIRING)

... Engineering, or related quantitative field * 5-10 years of experience in data science, machine learning, and statistical analysis * Proficiency in Python, R, or Julia * Strong understanding of ...

Programming Languages & Tools: Proficiency in Python, R, or Julia. * Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). * Database ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

Experience writing code in Python, R, Scala, and distributed computing technologies like Spark. Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

... programming languages (e.g., Python, R, SAS); outstanding communication and interpersonal skills; ability to work collaboratively with internal and external stakeholders; advanced degree (Master's or ...

... programmer in two or more of the following: Python, R, SAS, MATLAB, SQL • Excellent written, verbal, and presentation skills • Experience in elasticity estimation and pricing is a definite plus ...

Data Engineer

Augusta, GA · On-site

$107K - $129K/yr

In this role, you will bring deep knowledge of data architecture, integration, governance, process automation, and programming languages such as Python, R, Java, C, MATLAB, or SAS to solve complex ...

Data Engineer

Augusta, GA

$90K - $108K/yr

In this role, you will bring deep knowledge of data architecture, integration, governance, process automation, and programming languages such as Python, R, Java, C, MATLAB, or SAS to solve complex ...

Data Engineer

Augusta, GA · On-site

$90K - $108K/yr

In this role, you will bring deep knowledge of data architecture, integration, governance, process automation, and programming languages such as Python, R, Java, C, MATLAB, or SAS to solve complex ...

Showing results 21-40

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.

Senior Financial Engineer

Atlanta, GA • On-site

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees

$100K - $138K/yr

Full-time

Re-posted 2 days ago


Job description

Overview

Job Purpose

The Senior Financial Engineer will play a critical role in developing and enhancing solutions on our analytics platform to support growth in fixed income and equity analytics.  This position requires advanced technical expertise and strong analytical skills. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will collaborate with Product Development, Data Analysis, Quantitative Research, IT, QA, and Operations teams to ensure high-quality data delivery.

Responsibilities

  • Ensure accuracy and integrity of quantitative measures and reference data.
  • Oversee and validate critical data production processes, ensuring timely and accurate client deliverables.
  • Research and respond to client data inquiries and challenges.
  • Establish and monitor performance metrics for version upgrades and enhancements.
  • Produce historical analysis that highlights current analytic trends for different asset types.
  • Create and maintain documentation for workflows, data requirements, and DQA test cases.
  • Recommend and implement process improvements to enhance data analysis and operational efficiency.

Knowledge and Experience

  • Master's degree in Mathematics, Financial Engineering, Mathematical Finance, Computer Science or Finance
  • 2+ years' experience in related field
  • Strong understanding of fixed income mathematics with exposure to equity, index, and derivative instruments
  • Excellent Quantitative Analytic Skills
  • Proficiency in SQL and experience with data analysis tools such as Python, R, or MATLAB
  • Excellent communication skills for articulating issues, clarifying requirements, and presenting findings
  • Detail oriented and good organization skills
  • Self-motivated and accountable for delivering accurate, timely results
  • Collaborative team player with flexibility to adapt to changing priorities and schedules
  • Familiarity with software development lifecycle (SDLC)

Preferred Knowledge and Experience

  • Passed the CFA Level II or higher
  • Experience in AI-assisted development tools such as GitHub, Copilot, Cursor, or Claude
  • Exposure to cloud platforms and services

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME