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Data Science R Jobs in Rhode Island (NOW HIRING)

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

R, Python, or SQL; SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Coding in Python, R, SAS, Julia, Gurobi, or CPLEX; Designing data models and solutions for ...

New

Data Science Tutor

Providence, RI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

This is a high-impact role at the intersection of data science, operational expertise, and emerging ... NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software ...

Sr. Associate Data Scientist

Warwick, RI · On-site

$103.70 - $140.30/hr

Specific duties include: execute on standard business challenges involving data science; succeed in ... and R; processing large datasets from different sources for reporting; and working with the ...

New

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Proficiency in Python, R, or similar analytical programming languages * Strong analytical and ...

R or Python; Hibernate or Oracle; Writing application code and deploying to production; Developing ... Contributing to large-scale applications development, data science, or data analytics projects; and ...

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Showing results 1-20

Data Science R information

See Rhode Island salary details

$36.7K

$120.2K

$192.4K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r in Rhode Island is $120,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a Data Science R?

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 does a Data Science R do?

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.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What job categories do people searching Data Science R jobs in Rhode Island look for?

The top searched job categories for Data Science R jobs in Rhode Island are:

Infographic showing various Data Science R job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,199 per year, or $57.8 per hour.

Sr Manager, Data Science

CVS Health

Woonsocket, RI • On-site, Remote

$140K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: Leads data science team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Duties include: Leads team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Directs activities of data scientists, providing guidance, mentorship, and performance management to drive excellence in data science projects and deliverables. Defines data science strategies, methodologies, and best practices to solve complex healthcare challenges and drive innovation. Counsels the team in data exploration, analysis, and modeling techniques to derive actionable insights and inform healthcare decision-making processes. Directs activities of data science projects, including resource allocation, budget management, and timeline adherence, ensuring successful project execution. Analyzes organization to strategize and identify opportunities to leverage advanced analytics, machine learning, and artificial intelligence in healthcare applications. Advises senior leadership and stakeholders on data-driven strategies
and solutions, providing insights and recommendations based on data analysis. Collaborates with multiple departments, including clinicians, researchers, and Information Technology (IT) professionals, to define project objectives, scope, and deliverables. Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development. Delivers a culture of learning and growth within the data science team, fostering collaboration, knowledge sharing, and professional development opportunities. Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related
occupation. Position requires two (2) years of experience in each of the following:

Analyzing large data sets from multiple data sources;
Analytics experience within the retail and/or healthcare industries;
Machine learning, statistical analysis, and predictive modeling;
Programming in R, Hadoop, or Python;
R, Python, or SQL;
SAS or SQL programming languages;
Visualization tools, including PowerBI or Tableau;
Coding in Python, R, SAS, Julia, Gurobi, or CPLEX;
Designing data models and solutions for analytical and reporting use cases; and Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP).


Position requires at least one (1) year in each of the following:
Team supervision, including assessing employees performance, providing feedback and training to improve work quality;
Development of quality assurance standard to ensure compliance meets industry standards; and

Provide analysis and proposals for improvements to existing methods, systems and procedures such as operations, communications & report management.

Pay Range: $140650.00/year to $260590.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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