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Data Science R Jobs in New York (NOW HIRING)

Python experience required, R experience a plus Proficient with data visualizations and using data ... science, artificial intelligence and analytics Opportunity to get in early at a self-funded ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine ...

Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks. * Experience with big data technologies, cloud platforms, and data ...

Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks. * Experience with big data technologies, cloud platforms, and data ...

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Data Science R information

See New York salary details

$41K

$134.3K

$215K

How much do data science r jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science r in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in New York? The most popular types of Data Science R jobs in New York are:
Infographic showing various Data Science R job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.
SENIOR PRINCIPAL, DATA SCIENCE

SENIOR PRINCIPAL, DATA SCIENCE

tellic

Manhattan, NY โ€ข On-site

Other

Medical, Dental, Vision, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Senior Principal, Data Science

MS or PhD in a quantitative, mathematics or technical field (Math, Physics, CS, Statistics, Engineering, Computational Biology, Ops Research.)

7-10 yrs experience in data science/modeling/advanced machine learning/predictive modeling

Strong desire to be in a startup environment; desire to work on the cutting edge of methods and applications

Able to function as a thought leader, mentor more junior team members and act as a company leader

Comfortable collaborating with cross functional teams and external industry partners in order to drive development and build scalable solutions

Understand complex business challenges, design scientific solutions, manipulate large data sets using machine learning or statistical modeling techniques and synthesize insights

Strong written/verbal communication and interpersonal skills; able to interact easily with business leaders

Able to 'translate' complex technical subjects for a less-technical audience

Able to rapidly prototype products and services

Pharma experience required

Experience with a variety of project types and different modeling approaches a plus

Hands-on professional experience with at least 2 of the following techniques: Bayesian networks, natural language processing, neural networks, data clustering, and segmentation

Functionally proficient working with both structured and unstructured data

Programming languages: Python experience required, R experience a plus

Proficient with data visualizations and using data to tell interesting business stories

Strong research design and coding skills

Cloud experience required (GCP a plus)

Hands-on experience supporting Big Data technologies (e.g., Hadoop, Spark)

High energy; continuous desire to learn/grow; intellectual curiosity

Relentless problem solver, willing to do whatever it takes

Self-sufficient, resourceful, able to work independently

Not afraid to make mistakes; willing to find creative solutions to difficult problems

Open-minded, hypothesis led, data-driven mindset

Willing to take on anything and try to break the mold

Once in a lifetime opportunity to transform an entire industry with data science, artificial intelligence and analytics

Opportunity to get in early at a self-funded, profitable startup with massive growth potential

Very competitive compensation package including base salary, bonus, and equity plan

Fun, inclusive culture that celebrates diversity and respects individuals and their contributions

Competitive medical/dental/vision coverage

3 weeks of paid vacation + 15 holidays

Discounted corporate gym membership

Convenient NYC location

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Interested candidates, please send your resume to careers@tellic.com