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Python R Jobs in North Carolina (NOW HIRING)

Datum Software, Inc.

Data Scientist

Charlotte, NC

... Python R or similar tools Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices Collaborate with data engineers to design ETL pipelines and ensure data ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices * Collaborate ...

K-Tek Resourcing LLC

AI/ML Lead

Charlotte, NC · On-site

Utilize programming languages such as Python, R, or Java to create robust and scalable software solutions. * Customize and optimize prebuilt models like GPT, BERT, and DALL-E for specific use cases.

Marencor

ML Engineer

Charlotte, NC · On-site

Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, PyTorch, scikit-learn ...

IFab Corporation

Data Scientist

Gastonia, NC · On-site

Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge of statistical methods and data mining techniques * Familiarity with big data ...

Industrial Fabricators

Data Scientist

Gastonia, NC · On-site

Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge of statistical methods and data mining techniques * Familiarity with big data ...

3B Staffing LLC

AIA Data Engineer

Charlotte, NC · On-site

Python R java Docker Dakota). - Knowledge of Cloud platform implementation (Azure or Amazon). Knowledge of data visualization tools is a plus (Tableau on multiple platforms along with Python ...

New

CYNET SYSTEMS

Data Scientist

Charlotte, NC · On-site

$65/hr

Develop predictive models and statistical analyses using Python, R, or similar tools. * Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.

Keylent Inc

Data Architect

Cary, NC · On-site

$65 - $83.50/hr

Proficiency in data analysis tools such as SQL, Python, R or similar. Strong understanding of data governance, privacy regulations and data security. Excellent communication skills with the ability ...

Booz Allen Hamilton

Data Scientist

Fayetteville, NC · On-site

Experience developing algorithms using Python, R, SQL, or NoSQL technologies * Experience with distributed data and computing tools such as Hadoop, Spark, Kafka, EMR, or similar platforms

Korn Ferry

Senior Data Scientist

Raleigh, NC · Remote

Advanced programming skills in Python, R, or other relevant languages for data analysis. Education & Work Experience Advanced or Master's education in Computer Science, Mathematics, Statistics, or a ...

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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 North Carolina is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.53 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 North Carolina as of May 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $110,812 per year, or $53.3 per hour.
Data Scientist

Data Scientist

Datum Software, Inc.

Charlotte, NC

Other

Posted 14 days ago

Job description

JOB DESCRIPTION:

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3

Perform data collection cleaning and feature engineering to prepare datasets for modeling

Develop predictive models and statistical analyses using Python R or similar tools

Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices

Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability

Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization

Work with stakeholders to translate business objectives into data science solutions and actionable insights

Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems

Maintain compliance with security and governance standards for data management on AWSKey Responsibilities

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3

Perform data collection cleaning and feature engineering to prepare datasets for modeling

Develop predictive models and statistical analyses using Python R or similar tools

Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices

Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability

Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization

Work with stakeholders to translate business objectives into data science solutions and actionable insights

Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems

Maintain compliance with security and governance standards for data management on AWS"

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