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R Programming Language Jobs in Alabama (NOW HIRING)

Proficiency in at least one programming language: * Python or * R * Hands-on experience with data wrangling, analysis, and exploration * Familiarity with a wide range of machine learning algorithms

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... Understanding of multiple computer programming languages, i.e. JavaScript, C#, R, Python, C++ and ...

s may display in multiple languages based on your language selection. What we offer: At Magna, you ... Understanding of multiple computer programming languages, i.e. JavaScript, C#, R, Python, C++ and ...

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R Programming Language information

See Alabama salary details

$72.5K

$112.4K

$136.9K

How much do r programming language jobs pay per year?

As of Jul 11, 2026, the average yearly pay for r programming language in Alabama is $112,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $126,400.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R Programming Language position, and why are they important?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most commonly searched types of R Programming Language jobs in Alabama? The most popular types of R Programming Language jobs in Alabama are:
What are popular job titles related to R Programming Language jobs in Alabama? For R Programming Language jobs in Alabama, the most frequently searched job titles are:
Infographic showing various R Programming Language job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 24% Part Time, 1% Temporary, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $112,392 per year, or $54 per hour.

Data Scientist III (IT)

4pconsultinginc

Birmingham, AL โ€ข On-site

Contractor

Re-posted 15 days ago


Job description

Position: Data Scientist III (IT)

Location: Birmingham, AL

Duration: ย 1 Year

Client: Alabama Power


Job Summary

Theย Data Scientist IIIย is responsible for applying advanced data analysis techniques and theย scientific methodย to solve complex business and technical problems. This role requires strong expertise inย statistics, machine learning, and programming, with the ability to transform raw data into actionable insights.

The ideal candidate has hands-on experience withย data wrangling, exploratory data analysis, statistical modeling, machine learning algorithms, and data visualization, and can work effectively with large and complex datasets in an enterprise IT environment.


Key Responsibilities

  • Apply theย scientific methodย to frame problems, test hypotheses, and validate results
  • Performย data wrangling, cleansing, and preprocessingย on structured and unstructured datasets
  • Conductย exploratory data analysis (EDA)ย to identify trends, patterns, and anomalies
  • Build, evaluate, and deployย statistical and machine learning models
  • Apply a variety ofย machine learning algorithmsย (e.g., regression, classification, clustering, ensemble methods)
  • Work withย large-scale datasetsย and big data processing frameworks
  • Createย data visualizations and dashboardsย to communicate insights effectively
  • Collaborate with cross-functional teams including IT, data engineering, analytics, and business stakeholders
  • Translate complex analytical findings intoย clear, actionable recommendations
  • Document methodologies, models, assumptions, and results

Required Qualifications

  • 5โ€“10 years of experienceย in data science, analytics, or a related role
  • Strong proficiency inย statistics and probability
  • Proficiency in at least one programming language:
  • Pythonย or
  • R
  • Hands-on experience withย data wrangling, analysis, and exploration
  • Familiarity with a wide range ofย machine learning algorithms
  • Experience creatingย data visualizationsย using industry-standard tools or libraries
  • Strong analytical, problem-solving, and critical-thinking skills
  • Excellent written and verbal communication abilities

Preferred Qualifications

  • Experience withย big data processing frameworksย (e.g., Spark, Hadoop, or similar)
  • Familiarity with cloud-based data or analytics platforms
  • Experience deploying or operationalizing machine learning models
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, or equivalent)
  • Experience working in an enterprise or IT-driven environment