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Python R Jobs in New York (NOW HIRING)

... Python/R on a DataIku/Hadoop platform. The position requires working closely with the WM Strategists and Modeling Group, who are responsible for the development and implementation of statistical ...

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 ...

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 ...

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

... R and Python interfacing • Experience with subversion, automated build/test systems • Experience with performance profiling, code coverage and unit testing Company : Powering Businesses with ...

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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 Aug 9, 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?

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 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.

Infographic showing various Python R job openings in New York as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Machine Learning Engineer (Python or R)

Socket.dev

Manhattan, NY • On-site

$120 - $180/hr

Other

Posted yesterday

New


Job description

Job Summary

We are looking for a Machine Learning Engineer with 3+ years of experience in building, training, and deploying machine learning models. The ideal candidate will have strong programming skills in Python or R and hands-on experience working with data, model development, evaluation, and production deployment. You will collaborate with data scientists, software engineers, and business stakeholders to design scalable ML solutions that solve real-world problems.

Key Responsibilities
  • Develop, train, and deploy machine learning models using Python or R.
  • Work with structured and unstructured data to build predictive and analytical solutions.
  • Perform data preprocessing, feature engineering, model selection, and hyperparameter tuning.
  • Evaluate model performance using appropriate metrics and validation techniques.
  • Build and maintain ML pipelines for training, testing, and inference.
  • Collaborate with data engineers and software teams to integrate models into applications and workflows.
  • Develop APIs or services to expose machine learning models for production use.
  • Monitor model performance in production and retrain models as needed.
  • Analyze business requirements and translate them into machine learning solutions.
  • Document model design, experiments, and deployment processes.
  • Troubleshoot, optimize, and maintain ML systems in production environments.
Required Qualifications
  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 3+ years of experience in Machine Learning, Data Science, or Software Development.
  • Strong programming skills in Python or R.
  • Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, caret, tidymodels, or similar tools.
  • Solid understanding of supervised and unsupervised learning techniques.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of SQL and working with relational or non-relational databases.
  • Experience building and deploying ML models in production environments.
  • Familiarity with Git, Docker, and CI/CD workflows.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Airflow, or SageMaker.
  • Experience with model monitoring, drift detection, and retraining strategies.
  • Knowledge of NLP, computer vision, time series forecasting, or recommendation systems.
  • Experience working in Agile or cross-functional product teams.
  • Exposure to big data tools such as Spark or Databricks.
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