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Tidyverse Jobs (NOW HIRING)

... 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 ...

Proficiency in R for statistical computing (e.g., tidyverse, modeling functions, data manipulation); * Coursework in regression analysis and statistical inference; * Experience cleaning and preparing ...

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 ...

R and Tidyverse * Databases and database management with SQL * Business analytics * Introductory statistics * Intermediate statistics * Machine learning * Data visualization * Data manipulation ...

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 ...

Sr Data Scientist

Des Moines, IA · On-site

$117K - $146K/yr

Advanced proficiency in Python and/or R, with extensive experience using standard libraries for data wrangling (e.g., pandas, tidyverse), modeling (e.g., scikit-learn, caret, tidymodels), and data ...

Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git,matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Team player mindset and ...

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Tidyverse information

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 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 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.

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 July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.
Data Scientist

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Data Scientist

The Opportunity:

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space, understand strategic risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable analytic processes, and enterprise-wide collaboration to provide routine, special interest, and alert-triggered campaign assessments, and when necessary, facilitate and synchronize enterprise-level campaign adjustment. You will help DoD senior leadership mobilize for long-term campaigning, marshal DoD resources and actions against desired strategic outcomes, and maneuver the department with greater precision and effect to persistently pursue opportunity and mitigate risk vis-a-vis the pacing rival. Analysts are tasked with utilizing a flexible and foundational toolset that will add value across campaigning topics. Analysts will blend functional area knowledge with an ability to identify data sources, manipulate data, use data analytics tools, understand and anticipate strategic intent, and communicate with senior DoD leaders.

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges across private and public sectors from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs in order to then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

What You'll Work On:

  • Design and execute statistical analyses on large, complex datasets from multiple sources.

  • Develop production-quality data visualizations, plots, and dashboards for technical and executive audiences.

  • Lead data science projects from scoping through delivery, ensuring analytical rigor and alignment with mission objectives.

  • Collaborate with stakeholders to translate strategic questions into analytical approaches and deliver actionable insights.

  • Respond to ad-hoc analytical requests while managing competing priorities and deadlines in an agile workflow.

  • Mentor junior data scientists and establish best practices for reproducible, well-documented analyses.

  • Communicate complex statistical findings to both technical teams and senior DoD leadership.

Join us. The world can't wait.


You Have:

  • 6+ years of experience with data science, statistical analysis, or quantitative research

  • 6+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse

  • 6+ years of experience analyzing structured and unstructured data sources

  • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification

  • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses

  • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK

  • TS/SCI clearance

  • Bachelor's degree


Nice If You Have:

  • Experience with Natural Language Processing (NLP) techniques, such as text classification or entity recognition

  • Experience with geospatial data analysis

  • Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with Spark for large-scale data processing

  • Experience with data engineering principles, including ETL design, orchestration, and data pipeline architecture, to effectively partner with engineering teams

  • Experience working with the U.S. Department of Defense or the Intelligence Community

  • Experience with graph analytics, network analysis, or anomaly detection techniques

  • Experience with version control, such as Git, and reproducible research practices

  • Knowledge of machine learning model development and deployment practices

  • Possession of excellent written and verbal communication skills

  • Master's degree in Statistics, Computer Science, Data Science, or Economics


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914