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Data Science R Jobs in New Jersey (NOW HIRING)

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary * Data cleanup, and data massaging experience * Hands-on experience with R or Python ...

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$38.1K

$124.6K

$199.5K

How much do data science r jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data science r in New Jersey is $124,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $138,100.00 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 popular job titles related to Data Science R jobs in New Jersey? For Data Science R jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in New Jersey look for? The top searched job categories for Data Science R jobs in New Jersey are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,608 per year, or $59.9 per hour.
Senior Data Scientist

Senior Data Scientist

SRP Systems Inc

Princeton, NJ • On-site

Full-time

Re-posted 21 days ago

Job description

Company Description
SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton.
Job Description
Title: Senior Data Scientist for a Stanford Startup
Location: Princeton, NJ
Full Time
Job Requirements:
  • A minimum of three years of experience working as a data scientist
  • Experience in working with large data sets
  • Strong experience in machine learning
  • Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc
  • Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary
  • Data cleanup, and data massaging experience
  • Hands-on experience with R or Python type languages
  • Any experience in doing well at Kaggle type competitions is a big plus

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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