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R Tidyverse Jobs (NOW HIRING)

Sr Specialist Data Scientist

Plano, TX · On-site

$132K - $192K/yr

Python, R, Scala, and SQL; applying knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools. Our Sr Specialist ...

Python, R, Scala, and SQL; applying knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools. Our Sr Specialist ...

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 ...

Senior Statistician

New Haven, CT · On-site

$87K - $107K/yr

... R or Python; SAS, Stata, MATLAB). * Proven ability to create large, complex data sets from ... Demonstrated skill in producing visualizations using coded processes (e.g., Tidyverse, Quarto ...

Showing results 21-40

R Tidyverse information

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$80K

$124K

$151K

How much do r tidyverse jobs pay per year?

As of Sep 13, 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 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Sr Specialist Data Scientist

Plano, TX • On-site

$132K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


AT&T rating

7.4

Company rating: 7.4 out of 10

Based on 736 frontline employees who took The Breakroom Quiz


Job description

JOB LOCATION: 2900 W Plano Parkway, Plano, TX 75075
DUTIES: Design, build, and analyze large and complex data sets from various structured and unstructured sources by leveraging your strategic thinking about data use and design. Apply statistical techniques and advanced visualization tools to understand data structure, trends, and relationships while creating new features or modify existing ones to enhance machine learning model performance. Solve business problems, develop income-generating models, and identify opportunities for cost savings by optimizing business processes. Apply knowledge of Python, R,
Scala, or SQL. Apply experience with big data platforms including Hadoop, Spark, and Databricks. Apply knowledge of cloud technologies including AWS, Google Cloud, and Azure. Utilize machine learning frameworks including Scikit- Learn, Pandas, PyTorch, TensorFlow, Keras, and AutoML tools. Utilize visualization tools including Matplotlib, Seaborn, Tableau, and Power BI. Apply experience with ETL pipelines, workflow schedulers including Apache Airflow, version control systems including Git, and knowledge of both relational and NoSQL databases. Apply knowledge with MLOps practice and containerization tools including Docker, and collaborative environments including Jupyter Notebooks. Apply knowledge in statistical design of experiments, algorithm categories, and modern data engineering practices to drive impactful business insights and solutions. Apply knowledge in statistical design of experiments. Apply knowledge of statistical concepts. Apply knowledge in algorithm categories including Supervised
Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI Knowledge Graphs. Apply knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools.
REQUIREMENTS: Requires a Bachelor's degree, or foreign equivalent degree in Data Science, Math, Statistics, Engineering, or Physics and 2 years of experience in the job offered or 2 years of experience in a related occupation applying knowledge in statistical design of experiments and applying knowledge of statistical concepts; applying knowledge in algorithm categories including
Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs; applying Coding knowledge required in at least one of the following data science languages: Python, R, Scala, and SQL; applying knowledge with modern ML packages and libraries including SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and AutoML tools.
Our Sr Specialist Data Scientists earn between $132,600 - $192,100 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40
Time Type:
Regular
Location:
Plano, Texas
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

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