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Python R Jobs in North Carolina (NOW HIRING)

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

Programming skills (Python, R, or similar) for data analysis and automation. * Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL processes, APIs, and ...

Programming skills (Python, R, or similar) for data analysis and automation. * Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL processes, APIs, and ...

Programming skills (Python, R, or similar) for data analysis and automation. * Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL processes, APIs, and ...

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

... as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc. 5. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 6. Experience in managing ...

Data Engineer

Charlotte, NC

$111K - $134K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply ...

In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model ...

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Showing results 1-20

Python R information

See North Carolina salary details

$12

$53

$78

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.
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.
Senior Data Scientist

Senior Data Scientist

Vangard, Inc.

Charlotte, NC • On-site

Full-time

Posted 6 days ago


Job description

Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.


Responsibilities

  • Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components
  • Design and implement scalable RAG (Retrieval-Augmented Generation) workflows
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.


Qualifications and Skills

  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor's degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.