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Python R Jobs in Atlanta, GA (NOW HIRING)

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

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 ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

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 ...

ResultStack

Sr. Data Scientist

Atlanta, GA · On-site

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 ...

Antares Capital LP

Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

Python (FastAPI/Django/Flask); R (Shiny/Plumber) or equivalents; REST/gRPC; eventing and messaging; API management. * Data: SQL and data modeling; ETL/ELT patterns; data quality and lineage ...

STEMtech

Data Engineer

Atlanta, GA

$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 ...

Veritiv Corporation

Data Scientist

Sandy Springs, GA · On-site

... Python, R, or VBA is desirable. • Experience using Microsoft SQL, SSAS, Power Pivot, Power Query or Power BI is preferred. • Experience utilizing Python or R coding skills for data exploration ...

Slack

Staff Product Data Scientist - Slack

Atlanta, GA · On-site

... Python, R). • Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. • Strong communication skills. Able to ...

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How much do python r jobs pay per hour?

As of Jun 4, 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 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 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.
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Python R jobs near you
Infographic showing various Python R job openings in Atlanta, GA as of May 2026, with employment types broken down into 67% Full Time, and 33% 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.

Risk Analyst I, Business Analytics

Stellantis Financial Services

Atlanta, GA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Stellantis Financial Services rating

8.2

Company rating: 8.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.
Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.
Position Summary:
The Risk Analyst I, Business Analytics, will be responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks for Stellantis Financial Services as an organization. The Risk Analyst I, Business Analytics, will also collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities.
Essential Duties and Responsibilities:
  • Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools.
  • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions.
  • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections.
  • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team.
  • Build, recalibrate, and validate advanced predictive models.
  • Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors.
  • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data.
  • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets.
  • This position involves regular access to sensitive consumers personal information, including, but not limited to, Social Security numbers and dates of birth.
  • Other duties as assigned.

Required Experience:
  • Two (2) years of experience in data analytics, such as data mining, business analytics and databases.
  • Proficient with SQL, Fabric, Python, R or other business intelligence software.
  • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI.
  • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations.
  • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing.
  • Detail oriented with problem solving and critical thinking abilities.
  • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form.
  • Effective verbal and written communication and interpersonal skills. Education:
  • Bachelor's Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields. Overtime required - required on an as needed basis. Travel 0-10% - as required on an as needed basis.
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX.

Qualifications Preferred:
  • Master's Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred!
  • Prior Auto finance or captive industry is a plus!

Physical Demands
  • Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule
  • Ability to work between the hours of 8AM - 6PM, Monday through Friday and weekends as needed.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

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