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Python R Jobs in New York (NOW HIRING)

Hands on experience on Python,R,PYSPARK and other analytics tools * Experience in Data wrangling,ability to analyze the data provide insights * Good communication skills, work with business users ...

Hands on experience on Python,R,PYSPARK and other analytics tools * Experience in Data wrangling,ability to analyze the data provide insights * Good communication skills, work with business users ...

Hands on experience on Python,R,PYSPARK and other analytics tools * Experience in Data wrangling,ability to analyze the data provide insights * Good communication skills, work with business users ...

BI Consultant

Berkeley Heights, NJ · On-site

$50 - $68.50/hr

Some experience with data analysis tools and programming languages ( SQL , Python, R) * Strong project management and leadership skills * Experience or passion for machine learning and artificial ...

New

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Experience with/knowledge of Wholesale Credit Products, CCAR, Basel Experience with R and Python interfacing Experience with subversion, automated build/test systems Experience with performance ...

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

... Python, R, SQL, Java or Scala, SQL Qualifications : Required : • Bachelor of Computer Science or Engineering or experience in related fields • Ability to coach others with minimal guidance and ...

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Python R information

See New York salary details

$14

$64

$94

How much do python r jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python r in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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 jobs can you get with R programming?

Jobs that require R programming include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and SQL.

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.

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.

Can I learn R after Python?

Python and R are both popular programming languages for data analysis and statistical computing. Learning Python first can provide a strong foundation in programming concepts, which can make learning R easier later. Many data analyst and data scientist roles require proficiency in both languages, and knowing both can enhance job prospects and flexibility in handling different projects.

Which pays more, C++ or Python?

For Python R developers, salaries generally depend on experience, location, and industry. C++ developers often earn higher salaries due to the language's complexity and demand in systems and embedded programming, but Python roles are increasingly lucrative, especially in data science and automation. Overall, C++ roles tend to pay more on average, but Python skills can lead to competitive compensation in high-demand fields.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for data analysts, developers, and data scientists in 2026, with widespread use in machine learning, automation, and web development. Its versatility, extensive libraries, and strong community support contribute to ongoing job opportunities for Python professionals.
Infographic showing various Python R job openings in New York as of June 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,398 per year, or $64.1 per hour.
Lead Python Application Developer

Lead Python Application Developer

Global Channel Management

Iselin, NJ • On-site

$142K - $174K/yr

Other

Posted 9 days ago


Job description

Lead Python Application Developer

Woodbridge Township, New Jersey, United States

$ 79.00 - 80.00 (US Dollar)

Iselin, NJ (Hybrid) 3 days a week

Lead Python Application Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.

Lead Python Application Developer requires:

  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
  • Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry
  • Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI, Quick Sight or Tableau.
  • Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
  • Bachelor's or Masters degree in computer science, data science, statistics, mathematics, or a related field.

Lead Python Application Developer needs:

  • Create and maintain data flow design and technical requirements documentation using defined documentation templates that meets Agile product development standards (such as data analysis or methodology, MS Excel calculations).
  • Understand business objectives and develop models that help to achieve them, along with metrics to track their progress
  • Demonstrating the results of various algorithmic approaches and evaluating their performance
  • Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training
  • Analyze diverse sources of data, extract features from data sources, train and test models, and Productionalize the models that significantly improve business outcomes.
  • Works closely with Data Scientists and Data Engineers to develop predictive algorithms
  • Training models and tuning their hyperparameters.

Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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