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Python R Jobs in New York (NOW HIRING)

Jose Merciline

VP Software Engineer

New York, NY · On-site

... 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 ...

Sonsoft Inc

Data Wrangler

New York, NY · On-site

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 ...

Sonsoft Inc

Data Wrangler

New York, NY · On-site

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 ...

Sonsoft Inc

Data Wrangler

New York, NY

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 ...

SA Technologies Inc.

Python Developer

New York, NY

$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 ...

Amazon

Professional Services III AMZ13646.13

New York, NY · On-site

$169K - $228K/yr

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) ...

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How much do python r jobs pay per hour?

As of Jul 18, 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 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.

What are popular job titles related to Python R jobs in New York? For Python R jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python R jobs in New York look for? The top searched job categories for Python R jobs in New York are:
Python R jobs near you

VP Software Engineer

Jose Merciline

New York, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description:

Local and fully vaccinated against covid 19 candidates only

Job Title: VP Software Engineer

Our company Wealth Management Technology is seeking a Software Engineer candidate with expertise in design, development and implementation of statistical modeling databases and the implementation of statistical models in 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 based models covering a wide range of financial products such as bank deposits, mortgage lending and retail lending. We have an opening for a qualified individual to join our fast-paced work environment.

The right candidate would have a background in data engineering and requisite familiarity and experience working with statistical modeling. The candidate should be well versed in the Hadoop ecosystem and all the intricate details of Hadoop application design. Additionally, experience with Hadoop/Spark performance tunings which includes but not limited to data partitioning and indexing is requisite.

Responsibilities include:

Work closely with members of WM Strats and Modeling team in the design, development and implementation of large statistical databases in DataIku/Hadoop environment? Work closely with members of WM Strats and Modeling team in the implementation of statistical and econometric models in Python/PySpark/R on the DataIku platform Work closely with members of WM Strats and Modeling team to facilitate processing large data inHadoop environment using Spark/PySpark/RSpark Ensure data integrity through data quality, validation, governance and transparency Production deployment and model monitoring to ensure stable performance and adherence to standards

Skills required:

Experienced professional with 10-12 years of experience developing and implementing statistical models in Big Data ecosystem, i.e., Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology Proficiency with Python/R and basic libraries for statistical/econometric modeling such as scikit-learn, pandas Experienced in Hadoop, Spark, HDFS, Python, R, PySpark and other leading technologies Proficiency with DataIku or similar tools Proficiency in data analysis using complex and optimized SQL and / or above-mentioned technologies Understanding of data architecture, structures, data modeling and database design and performance management Good written and verbal communication skills

Proficiency / Experience with the following a plus In-depth understanding of Statistics Finance, Mortgages, Bank Deposit Products

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