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Python R Jobs in New York (NOW HIRING)

Basic Qualifications: • 7-10 years experience in data science Preferred Qualifications: • Strong Python/R and SQL skills. • Experience with ML libraries (scikit-learn, XGBoost). • ...

New

Jr. Quantitative Developer

Manhattan, NY

$73K - $95K/yr

Python, R, and possibly Matlab Firm grasp of data structures and algorithms and knowledge of their computational tradeoffs Knowledge and experience of basic options pricing theory Knowledge and ...

Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3 3) 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet) 4) ...

Research Analyst

New York, NY · Hybrid

$30 - $35/hr

Experience and familiarity with programming languages (SQL, Python, R) that can be used to conduct data analyses is a plus * Bachelor's degree or higher * SQL and Python experience (not required)

Jr. Quantitative Developer

Manhattan, NY · On-site

$73K - $95K/yr

Python, R, and possibly Matlab • Firm grasp of data structures and algorithms and knowledge of their computational tradeoffs • Knowledge and experience of basic options pricing theory • ...

The position requires strong technical skills in Python/R and relational databases, a solid grounding in statistics and data science, and the ability to communicate insights effectively to non ...

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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.
Data Scientist

Data Scientist

USG, Inc.

Jersey City, NJ • On-site

Other

Posted yesterday


USG rating

8.2

Company rating: 8.2 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

77th of 520 rated manufacturers


Job description

Data Scientist

Jersey City, NJ, 07311 (4 days onsite per week)

Video and face to face interview required

About the Role

You will focus on building and evaluating machine learning models while working with structured and unstructured datasets to solve business problems.

What You’ll Do

• Data Analysis: Perform EDA and feature engineering on large datasets.

• Modeling: Train and evaluate models for classification, regression, and forecasting.

• Experimentation: Conduct A/B testing and statistical validation.

• Visualization: Communicate results through dashboards and reports.

• Collaboration: Work with engineers to productionize models.

Basic Qualifications:

• 7-10 years experience in data science

Preferred Qualifications:

• Strong Python/R and SQL skills.

• Experience with ML libraries (scikit-learn, XGBoost).

• Understanding of statistical methods and hypothesis testing.

• Familiarity with data visualization tools.

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What USG employees say

Pay

Benefits

Hours and flexibility

Workplace

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