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R Tidyverse Jobs (NOW HIRING)

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Some experience programming in R with tidyverse packages * High-performance computing * Distributed computing * Hadoop, Spark, Kafka, and related technologies * SQL * Unix/Linux system tools and ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Some experience programming in R with tidyverse packages * High-performance computing * Distributed computing * Hadoop, Spark, Kafka, and related technologies * SQL * Unix/Linux system tools and ...

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

Some experience programming in R with tidyverse packages * High-performance computing * Distributed computing * Hadoop, Spark, Kafka, and related technologies * SQL * Unix/Linux system tools and ...

Candidates must have experience in analytical programming, fluency in languages like Python or R, DB experience such as SQL, knowledge of GIS tools, libraries like Pandas, Tidyverse, Data frames and ...

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

... R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. * 5+ years of experience working in a Linux environment, using version control systems ...

Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). * Background working with common data ...

Data Engineer

New York, NY · Hybrid

$115K - $150K/yr

... R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. * 5+ years of experience working in a Linux environment, using version control systems ...

Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data ...

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

Senior Data Scientist

$99K - $132K/yr

Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.) * Experience with model development ...

Showing results 41-60

R Tidyverse information

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$80K

$124K

$151K

How much do r tidyverse jobs pay per year?

As of Sep 10, 2026, the average yearly pay for r tidyverse in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is R Tidyverse?

R Tidyverse is a collection of open-source R packages designed for data science tasks such as data manipulation, visualization, and analysis. The core packages, including dplyr, ggplot2, tidyr, readr, and others, share an underlying design philosophy and grammar for handling data in a consistent and intuitive way. Tidyverse makes working with data in R more streamlined, readable, and efficient, especially for tasks like data cleaning, transformation, and plotting. It is widely used by data analysts, statisticians, and researchers for its ease of use and powerful functionality.

What are the key skills and qualifications needed to thrive as an R Tidyverse data analyst?

To thrive as an R Tidyverse Data Analyst, you need a strong understanding of data manipulation, statistical analysis, and R programming, often supported by a degree in statistics, data science, or a related field. Proficiency with the Tidyverse suite of packages (such as dplyr, ggplot2, tidyr) and familiarity with data visualization and version control systems like Git are essential. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills ensure accurate data analysis, clear insights, and effective collaboration with stakeholders to drive data-driven decisions.

How does a data analyst using the R Tidyverse typically collaborate with other team members on projects?

As a data analyst specializing in the R Tidyverse, you will often work closely with data engineers, domain experts, and business stakeholders to ensure data is clean, well-structured, and insights are actionable. Collaboration frequently involves sharing reproducible R scripts or RMarkdown reports, participating in code reviews, and integrating with version control systems like Git. Clear communication and documentation are key, as you may need to explain your data wrangling and visualization processes to non-technical team members. Regular meetings and collaborative platforms help align project goals and ensure smooth handoffs between roles.

What is the difference between R Tidyverse vs R Data Analyst?

AspectR TidyverseR Data Analyst
Required SkillsProficiency in R, Tidyverse packages (dplyr, ggplot2, tidyr)R programming, data manipulation, statistical analysis
Work EnvironmentData science teams, analytics projectsBusiness analysis, reporting, data interpretation
Industry UsageData science, research, analyticsFinance, marketing, healthcare, research

R Tidyverse focuses on data manipulation and visualization using specific R packages, while R Data Analysts perform broader data analysis tasks, including statistical modeling and reporting. Both roles require R skills, but R Tidyverse emphasizes data wrangling and visualization, whereas R Data Analysts apply these skills in diverse business contexts.

Infographic showing various R Tidyverse job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 97% Full Time, and 2% Contract. Highlights an 43% Physical, 8% Hybrid, and 49% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Statistician II - Wage and Hour

Philadelphia, PA • On-site

Ogletree Deakins
Law Firms • 1 - 5K employees

$92K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Key responsibilities

  • Support analysis of client data related to Wage & Hour laws, including identifying data issues and developing solutions.

  • Oversee and review the work of analysts and junior statisticians, including workload management and project delegation.

  • Communicate complex analysis results clearly to attorneys and client contacts, and collaborate with attorneys and analysts on project strategies and revisions.


Ogletree Deakins rating

8.7

Company rating: 8.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Focused on employment and labor law since 1958, Jackson Lewis P.C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged and stable, and share our clients' goals to emphasize belonging and respect for the contributions of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers "Best Law Firms".

The Statistician II role in the Wage & Hour Data Analytics group provides support on various projects, including but not limited to single plaintiff, class action, collective action, and DOL audit client exposure analyses, largely based on client timekeeping and payroll data. Experience with Wage & Hour data and a current knowledge of Wage & Hour laws at the state and/or federal level is required. Once integrated into the group, you will work with a high degree of latitude with minimal supervision, handle complex attorney/client issues, oversee the work of analysts and more junior statisticians, and be expected to effectively communicate with both attorneys and high-level client contacts. In short time, you will possess expert knowledge of subject matter and Firm analytic protocols and procedures. Regularly works with attorneys and team manager to determine strategies for projects. Provide support on Practice Group initiatives, marketing efforts and in pitches.

Essential Functions

  • Identify data issues, perform basic analysis, and develop solutions.

  • Participate in creation of macros and coding for necessary analyses.

  • Provide input on timely, effective solutions to solve client issues; identify and suggest new approaches to technical issues.

  • Assess client exposure under various litigation scenarios - class action, collective action, etc.

  • Oversee and review work of analysts and junior statisticians, including workload management and project delegation.

  • Provide clear, concise communications - both written and oral - to attorneys and client contacts, with the ability to explain complex topics in an easy-to-understand manner.

  • Develop methods and strategies to reach the end goal of a project based on various types/formats of raw client data.

  • Work with attorneys and analysts for analysis revisions, often on-the-fly during mediation proceedings.

  • Determine client and project needs and independently design and prepare data and analyses

Qualifications/Skills Required

  • Minimum two years of experience directly working with Wage & Hour topics and data (timekeeping and payroll data especially), preferably within a legal or HR context highly preferred.

  • Direct experience with California Wage & Hour laws a large plus.

  • Expert working knowledge with Excel, especially with basic and intermediate Excel formulas (vlookups, sumifs, etc.); Ability to use Excel formulas and mathematics to manipulate raw data into dollar-figure exposure estimates.

  • VBA experience a large plus.

  • Experience in R, SQL, Python, other statistical programs a plus (R preferred).

  • Proficiency in linear and logistic regression modeling for large scale workforces

  • Ability to communicate well, both in writing and verbally, with client HR and legal professionals at Fortune 500 companies.

  • Ability to write programs/macros to automate repetitive statistical and data tasks.

  • Critical thinking and problem-solving skills required.

  • Strong organizational and communication skills.

  • Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.

  • Working knowledge of R, data wrangling methodologies and coding standards around dplyr, tidyverse, lubridate.

  • Critical thinking skills with attention to every detail.

  • Willingness to conform to standardized group practices.

Educational Requirements

  • Master's-level (or above) degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience or equivalent level of training.

#LI-LM1

#LI-Associate#

For Colorado, NY and Washington, the expected salary range for this position is between $92,600 and $105,000. This position is also eligible for annual bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

Jackson Lewis offers a competitive benefits package that includes:
Medical, dental, vision, life and disability insurance
401(k) Retirement Plan
Flexible Spending & Health Savings Account
12 firm-paid holidays, 2 weeks of vacation each year, and 1 hour of sick time for every 30
hours worked
Employee assistance program and other firm benefits.

The job will be posted on 6/14/2025 and we anticipate it will remain open for at least 60 days

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.


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