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Tidyverse Jobs (NOW HIRING)

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 ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

... tidyverse, or similar) and robust experience with common ML packages (scikit-learn or similar). • Ability to develop effective data visualizations that clearly communicate insights to business ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git; Linux. 2. NGS data processing: BCLFASTQ demultiplexing; adapter/quality trimming; UMI handling; QC with MultiQC; alignment/quantification ...

R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals * Python: Data wrangling, automation, integration with Databricks and Azure ...

... Tidyverse * 6+ years of experience analyzing structured and unstructured data sources * Experience with statistics, including hypothesis testing, regression analysis, experimental design, and ...

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management ...

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Tidyverse information

What can you do with Tidyverse?

A Tidyverse data analyst or data scientist can use the package collection to import, clean, transform, visualize, and analyze data efficiently in R. It supports workflows that involve data manipulation with dplyr, visualization with ggplot2, and data tidying with tidyr, making it a core tool for data analysis tasks.

What are Tidyverse packages?

The Tidyverse is a collection of R packages designed for data science. These packages share an underlying design philosophy, grammar, and data structures, making it easy to manipulate, explore, and visualize data. The core Tidyverse packages include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, and forcats, among others. They help streamline common data analysis tasks and are widely used by R programmers for efficient and readable code.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles related to data analysis and programming, such as senior data scientists, machine learning engineers, and quantitative analysts, can reach or exceed $300,000 annually, especially with experience, advanced skills in tools like R and the Tidyverse, and in certain industries like finance or technology. Executive positions like chief data officers or senior management roles in tech companies also often offer salaries at or above this level.

What are the key skills and qualifications needed to thrive as a Tidyverse Data Analyst, and why are they important?

To thrive as a Tidyverse Data Analyst, you need strong data manipulation, visualization, and statistical analysis skills, typically supported by a degree in statistics, data science, or a related field. Proficiency in R programming and mastery of Tidyverse packages (such as dplyr, ggplot2, tidyr, and readr) are essential, along with knowledge of version control systems like Git. Analytical thinking, attention to detail, and clear communication are standout soft skills in this role. These skills ensure accurate data insights, reproducible workflows, and effective collaboration with stakeholders for data-driven decision-making.

How does working as a Tidyverse data analyst typically involve collaboration with other teams or departments?

As a Tidyverse data analyst, collaboration is a core aspect of the role. You'll often work closely with stakeholders from various departments, such as marketing, finance, or product teams, to understand their data needs and translate them into actionable insights using R and the Tidyverse package suite. Regular communication is essential for gathering requirements, presenting findings, and ensuring that analyses align with business goals. Additionally, you may partner with data engineers or IT to access and manage datasets, and with other analysts to share best practices and streamline workflows.

What job makes $10,000 a month without a degree?

A data analyst or data scientist skilled in tools like the Tidyverse can potentially earn $10,000 or more per month through freelance work, consulting, or working for companies that value data skills. High-level roles often require strong programming, statistical knowledge, and experience, but formal degrees are not always mandatory if skills are demonstrated effectively.

What is the difference between Tidyverse vs Data Analyst?

AspectTidyverseData Analyst
Primary FocusData manipulation, visualization, and analysis using R packagesInterpreting data, creating reports, and supporting decision-making
Skills & ToolsR programming, ggplot2, dplyr, tidyr, readrExcel, SQL, statistical analysis, data visualization tools
Work EnvironmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Required CredentialsKnowledge of R, data analysis, statisticsDegree in statistics, data science, or related fields

While Tidyverse refers to a collection of R packages for data manipulation and visualization, Data Analysts utilize these tools along with other skills to interpret data and generate insights. Tidyverse is a technical toolkit, whereas Data Analyst is a role that applies these tools in various industries to support decision-making.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations often earn over $1 million annually, especially with bonuses and stock options. Successful entrepreneurs, hedge fund managers, and top-tier investment bankers can also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
More about Tidyverse jobs
What cities are hiring for Tidyverse jobs? Cities with the most Tidyverse job openings:
What states have the most Tidyverse jobs? States with the most job openings for Tidyverse jobs include:
Infographic showing various Tidyverse job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.
Data Scientist

Data Scientist

ERC Inc.

Huntsville, AL • On-site

Full-time

Medical, Retirement, PTO

Posted 3 days ago


Job description

For more than 30 years, ERC has been delivering the advantage needed to solve our customers' and the nation's toughest challenges. ERC is a trusted partner to the Defense and Space communities. We provide the advanced engineering, innovative technology, and subject-matter expertise to deliver the mission results our customers need to keep the nation safe and secure.

Our unique solutions enhance readiness, optimize performance, and help ensure success in the air, on the ground and in space. An essential part of our success is our corporate culture built on respect, empowerment, and collaboration. Our culture elevates our people, ensuring they provide best-in-class service and solutions to our customers.

We always strive to do the right thing. We believe that are our people are our best asset and human connection our greatest strength. Check us out on ERC.US Your role: In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data

Data Scientists are expected to use statistical techniques to help test teams make better decisions and improve their operations. What you'll do all day: BWork directly with test team and data engineers to develop tests and gather test insights using statistical methods and techniques. Use data science tools to improve data reliability, efficiency, and quality.

Responsible for planning tests to meet statistical requirements, developing Extract, Transform, Load (ETL) pipelines for data, and performing statistical analysis of test data Responsible for leading the development of statistically valid test procedures, data collection, and analysis efforts in support of Army modernization priorities to include rotary and fixed-wing flight test, distributed Live, Virtual, and Constructive testing, missile flight test, and sensor testing May be required to attain a Class III flight physical to support experimental flight test in rotary wing and fixed wing flight test, as well as attain explosive handling certification in support of missile flight test requirements. You will love this job if you: Are a self-starter and require little oversight to complete given tasks. Enjoy a fast-paced work environment.

Love working with diverse groups of individuals, including engineers and technicians. Are good at communicating with people. Have a positive attitude.

Enjoy multitasking. Minimum requirements for this position: Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field. 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 visualization tools (PowerBI, Tableau, etc.) and data visualization packages (Matplotlib, ggplot2, etc.) Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) Understanding of statistics and probability (Probability distributions, Bayesian and frequentist statistics, etc.) Knowledge of common data database technologies (SQL and NoSQL databases, data lakes, data mesh, and data fabric). Ability to prepare, analyze, and effectively communicate the findings of data analysis to customers, RTC leadership, and outside stakeholders. Strong written/verbal communication skills

Must be able to obtain and maintain a Secret Clearance (U.S. Citizenship is required for all applicants) What we offer: Competitive salaries. Continuing education assistance

Professional development allotment. Multiple healthcare benefit packages. 401K with employer matching.

Paid time off (PTO) along with federally recognized holiday schedule.