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Data Science R Jobs in Cambridge, MA (NOW HIRING)

... data science products • carry out analyses to yield actionable business insights • inform their statistical or machine learning approaches Qualifications : Required : • R • Python • Azure ...

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field ... Proficiency in programming languages such as SQL and Python or R. Strong knowledge of machine ...

Proficient in programming languages such as Python and/or R, with a focus on healthcare data science * Proven experience working with patient-level Real World Data, medical data and a strong ...

Responsibilities include leading data science projects related to digital biomarker discovery and ... R). - Knowledge of statistical analysis methods. - Proficiency in ETL processes and SQL for data ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... Proficiencyin Python and/or R for data analysis, modeling, and pipeline construction; working ...

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Data Science R information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do data science r jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data science r in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 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 Cambridge, MA? For Data Science R jobs in Cambridge, MA, the most frequently searched job titles are:
What cities near Cambridge, MA are hiring for Data Science R jobs? Cities near Cambridge, MA with the most Data Science R job openings:
Infographic showing various Data Science R job openings in Cambridge, MA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,150 per year, or $64.5 per hour.
Sr. Data scientist @ Boston, MA

Sr. Data scientist @ Boston, MA

Diverse Lynx

Boston, MA • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
Diverse Lynx is a company that focuses on providing data-driven solutions, and they are seeking a Senior Data Scientist. The role involves building scalable data science products and performing analyses to derive actionable insights.
Responsibilities:
• build scalable, re-usable data science products
• carry out analyses to yield actionable business insights
• inform their statistical or machine learning approaches
Qualifications:
Required:
• R
• Python
• Azure
• ML
• Databricks
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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