1

Python R Jobs in Atlanta, GA (NOW HIRING)

NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software Development Principles: version control (Git), CI/CD, API integration. Familiarity with containerization ...

NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software Development Principles: version control (Git), CI/CD, API integration. Familiarity with containerization ...

NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software Development Principles: version control (Git), CI/CD, API integration. Familiarity with containerization ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Uses Python, "R", Informatica, and other Big Data tools and technologies to code the data Engineering routines Designs and develops the Data Engineering routines for feature extraction, feature ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Python, "R", Informatica, and other Big Data tools and technologies to code the data Engineering routines • Designs and develops the Data Engineering routines for feature extraction, feature ...

Experience using analytical tools and languages, e.g., Python, R, Matlab, etc. * Experience working with large data sets and distributed computing tools (e.g., Hadoop, Hive, Spark, ...) * Knowledge ...

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. * Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). * Experience with ...

... Python, R, or Java, and familiarity with ML frameworks. • Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending ...

Strong programming skills in Python, R, or Java. * Deep understanding of statistical analysis, data mining, and predictive modeling. * Experience with cloud platforms (AWS, Azure, Google Cloud ...

Air Modeler

Atlanta, GA · Remote

$80K - $119K/yr

Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows, QA checks, post-processing, and visualization. Familiarity with federal, state(s), and local air ...

Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization ...

... Python, R). • Utilize data visualization tools to create clear and impactful presentations. • Stay abreast of emerging analytical techniques and technologies. • Troubleshoot and resolve ...

New

Spark, Python, R, SQL, GitVersion Control,AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

Spark, Python, R, SQL, GitVersion Control,AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis * Partner with Sales and Solution teams to provide pre- and ...

Spark, Python, R, SQL, Git Version Control, AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

next page

Showing results 1-20

Python R information

See Atlanta, GA salary details

$12

$56

$82

How much do python r jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python r in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 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 jobs can you get with R programming?

Jobs that require R programming include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and SQL.

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.

Can I learn R after Python?

Python and R are both popular programming languages for data analysis and statistical computing. Learning Python first can provide a strong foundation in programming concepts, which can make learning R easier later. Many data analyst and data scientist roles require proficiency in both languages, and knowing both can enhance job prospects and flexibility in handling different projects.

Which pays more, C++ or Python?

For Python R developers, salaries generally depend on experience, location, and industry. C++ developers often earn higher salaries due to the language's complexity and demand in systems and embedded programming, but Python roles are increasingly lucrative, especially in data science and automation. Overall, C++ roles tend to pay more on average, but Python skills can lead to competitive compensation in high-demand fields.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for data analysts, developers, and data scientists in 2026, with widespread use in machine learning, automation, and web development. Its versatility, extensive libraries, and strong community support contribute to ongoing job opportunities for Python professionals.
What are the most commonly searched types of Python R jobs in Atlanta, GA? The most popular types of Python R jobs in Atlanta, GA are:
Infographic showing various Python R job openings in Atlanta, GA as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $117,257 per year, or $56.4 per hour.
Sr. Data Scientist

Sr. Data Scientist

ResultStack

Atlanta, GA • On-site

Full-time

Posted 6 days ago


Job description

Must be a US Citizen or Hold a Green Card
ABOUT THE ROLE
We are looking to hire a Data Scientist who can transform the
complexity of global shipping and logistics into clear, actionable
intelligence. You'll work across operations, engineering, and leadership
to build predictive systems that optimize routes, forecast demand, and
surface insights that keep cargo moving. This is a high-impact role at the
intersection of data science, operational expertise, and emerging AI.
CORE REQUIREMENTS
This candidate will have Dashboard & BI Tooling. Being Fluent in
Tableau, Power BI, Looker, or equivalent. They will be able to model data
and present it for both technical and executive audiences.
They will have Complex Data Fluency. Being very comfortable
wrangling large, noisy datasets --- EDI records, tracking logs, port data,
weather overlays, and multi-model feeds.
They will do Predictive Modeling. Having proven experience building
ML models from messy. High-dimensional datasets (time series, sensor
data, ETA prediction, etc.).
They will be well versed in AI & Machine Learning. Having Hands-On
experience with LLM's, NLP, computer vision, or operations research
applied to real-world logistics problems.
This candidate must also be excellent in Collaboration &
Communication. They can translate model outputs into business
decisions. They will also possess strong documentation habits and
cross-functional alignment skills.
WHAT YOU'LL WORK ON
Route optimization and transit time prediction models • Anomaly
detection in shipment and carrier data • Real-time operational
dashboards for fleet and port performance • AI-assisted demand
forecasting for freight capacity planning • Cross-team data
infrastructure and model deployment support.
REQUIREMENTS
6+ Years in shipping, freight, logistics, or supply chain,
Understand how cargo and data both move.
NICE TO HAVES
Python, R, or SQL --- scripting and querying at production scale.
Software Development Principles: version control (Git), CI/CD, API
integration. Familiarity with containerization (Docker) or cloud
platform (AWS, GCP, Azure). Experience building data pipelines or ETL
workflows.