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Intern R Programming Language Jobs in Georgia (NOW HIRING)

R programming language. * Skywise Palantir. * Domo. * SAS. * Web development languages. * Cloud platforms (AWS, Azure). * Big data ecosystems (Hadoop). Required Qualifications: * 8+ years of ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of experience using SQL with any ...

Must be proficient in statistics and at least one programming language (typically R or Python). Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a ...

AI Engineering Intern

Atlanta, GA · On-site

$16 - $21/hr

Rev.io is seeking an AI Engineering Intern to join our team this summer. Rev.io is not offering a ... Strong coding fundamentals (any major language) * Curiosity about AI and how it changes development

Project Engineer Intern

Atlanta, GA

$16 - $21/hr

Please be advised that housing or relocation assistance is not provided for intern positions within ... language communication skills Ability to use independent judgment; self-starting Drafting and ...

Senior Financial Analyst

Atlanta, GA

$82K - $102K/yr

Must have experience with SQL, Python or R Programming Language. * Demonstrated ability to work cross-functionally with finance, operations, procurement, and business leaders. * Experience with ...

Packaging Sales Intern

Atlanta, GA · On-site

$14.50 - $19.50/hr

Packaging Sales Intern REPORTS TO: General Manager SUMMARY As a fully integrated member of the team ... and engineering. LANGUAGE SKILLS Ability to read, analyze, and interpret general business ...

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Intern R Programming Language information

Is 30 an hour good for an intern?

For an R programming language intern, $30 an hour is considered a competitive rate, especially for those with some experience or specialized skills. Intern salaries vary by location and industry, but this rate generally exceeds the average internship pay and reflects the value of technical skills like R programming. Factors such as the internship's duration, responsibilities, and company size can influence whether this pay is appropriate.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data science roles. Employers value R skills in industries such as healthcare, finance, and research, and proficiency with R can enhance job prospects in data-focused positions.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles across various industries. Employers seek professionals proficient in R for tasks involving data visualization, statistical modeling, and machine learning, making it a valuable skill for internships and entry-level positions in analytics-focused environments.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, academia, and market research for data analysis and reporting.

What is the difference between Intern R Programming Language vs Data Analyst Intern?

AspectIntern R Programming LanguageData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationData analysis, Excel, SQL, basic R knowledge
Work EnvironmentResearch labs, data science teams, tech companiesBusiness departments, marketing, finance teams
Industry UsageData science, research, analytics projectsBusiness intelligence, reporting, data interpretation

Intern R Programming Language roles focus on developing skills in R for data analysis and visualization, often within research or data science teams. Data Analyst Intern positions involve applying analytical skills to interpret data for business insights, sometimes using R but often emphasizing Excel and SQL. Both roles require analytical thinking but differ in technical depth and industry focus.

What are the most commonly searched types of R Programming Language jobs in Georgia? The most popular types of R Programming Language jobs in Georgia are:
What cities in Georgia are hiring for Intern R Programming Language jobs? Cities in Georgia with the most Intern R Programming Language job openings:

Full-time

Posted 7 days ago


Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.