ZipRecruiter

Log In

1

R Programming Language Jobs in New York (NOW HIRING)

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

Experience with tools such as R Programming, visualizations, SAS, Open Source etc. Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or similar Knowledge of ...

Mastech Digital

Data Scientist Specialist

New York, NY · Remote

$75 - $80/hr

... R programming experience to create graphical representations or simulations of data as well as ... SQL language is used for. - Ability to communicate effectively to all levels of engagement ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ... R Java Hadoop/MapReduce Flume Storm Kafka MemSQL Pig Hive Tableau Integration ETL Qualifications ...

cxb

Assistant Director, Data Analytics

Manhattan, NY

Ability to read and document data methods in a variety of languages, such as R, Python, SQL * Strong data processing skills and experience in any programming language used for data analysis * Able to ...

J.P. Morgan

Applied AI ML-Vice President

New York, NY · On-site

Advanced demonstratable programming skills on more than 1 programming language is required such as Spark, Python, Scala, Java. * Can learn quickly programming in another programming language and ...

cxb

Senior Director, Data Analytics

Manhattan, NY · On-site

Ability to read and document data methods in a variety of languages, such as R, Python, SQL * Expert-level data processing skills and experience in any programming language used for data analysis

next page

Showing results 1-20

All JobsR Programming Language JobsR Programming Language Jobs in New York

R Programming Language information

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 New York? The most popular types of R Programming Language jobs in New York are:
What are popular job titles related to R Programming Language jobs in New York? For R Programming Language jobs in New York, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in New York look for? The top searched job categories for R Programming Language jobs in New York are:
What cities in New York are hiring for R Programming Language jobs? Cities in New York with the most R Programming Language job openings:
R Programming Language jobs near you
Infographic showing various R Programming Language job openings in New York as of July 2026, with employment types broken down into 67% Full Time, 11% Part Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Re-posted 13 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.