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Tidyverse Jobs (NOW HIRING)

INSPYR Solutions

UX Researcher

Redmond, WA · On-site

Demonstrated experience coding with R, particularly the Tidyverse package. Experience in survey design and item development. Experience applying statistical analysis methods, including basic ...

1199SEIU Funds

Sr. Data Manager

Manhattan, NY · On-site

R (tidyverse, visualization, basic modeling); visualization tools (Tableau; Power BI a plus). Experience leading data teams and building staff capacity through training and mentorship. Excellent ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). * Proven experience developing, refining, and monitoring NLP ...

Apex Systems

$73 - $83/hr

Demonstrated experience coding with R, particularly the Tidyverse package. * Experience in survey design and item development. * Experience applying statistical analysis methods, including basic ...

ArteraAI

$180K - $220K/yr

Strong proficiency in R ecosystem tools (e.g., tidyverse, renv, devtools, pak, shiny app) * Deep understanding of package management, dependency resolution, and reproducibility * Ability to design ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

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 ...

ERC Inc.

Data Scientist

Huntsville, AL · On-site

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 ...

Lasso Informatics

Data Analyst

Encino, CA · On-site +1

... g., Tidyverse, Scipy, Sklearn, PyTorch, Polars). * Advanced proficiency in biostatistics, including methods suited to observational (cross-sectional and longitudinal) and experimental research ...

Artera

Platform Engineer, Statistical Computing (R)

$180K - $220K/yr

Strong proficiency in R ecosystem tools (e.g., tidyverse, renv, devtools, pak, shiny app) > * Deep understanding of package management, dependency resolution, and reproducibility > * Ability to ...

Artera Corporation

$180K - $220K/yr

Strong proficiency in R ecosystem tools (e.g., tidyverse, renv, devtools, pak, shiny app) > * Deep understanding of package management, dependency resolution, and reproducibility > * Ability to ...

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Tidyverse information

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 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 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:
What job categories do people searching Tidyverse jobs look for? The top searched job categories for Tidyverse jobs are:
Tidyverse jobs near you
Infographic showing various Tidyverse job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 2% Part Time, 1% Temporary, and 5% Contract. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
SAS to Python / R Migration Architect

SAS to Python / R Migration Architect

Ignite IT

Suitland, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.

This is a hands-on technical leadership role, not just documentation or oversight.

Key Responsibilities

  • Lead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
  • Perform detailed SAS estate assessments, including:
    • Code inventory and dependency mapping
    • Macro complexity analysis
    • Data access patterns (SAS datasets, DBs, flat files)
    • Statistical method equivalency analysis
  • Define target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)
  • Establish migration patterns and standards, including:
    • SAS PROC Python/R library mappings
    • Macro-to-function translation strategies
    • Reusable templates and shared components
  • Design validation and reconciliation frameworks to ensure:
    • Statistical equivalence
    • Numeric tolerances
    • Regulatory and audit compliance
  • Guide performance optimization strategies for large datasets
  • Identify automation opportunities (code scanners, translators, test harnesses)
  • Lead technical reviews and approve migrated code
  • Mentor developers and review complex conversions
  • Communicate migration risks, tradeoffs, and timelines to leadership

Requirements

  • 8+ years of advanced analytics or statistical programming experience
  • 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
  • Proven experience architecting or leading SAS Python and/or R migrations
  • Deep expertise in:
    • Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
    • and/or R (tidyverse, data.table, caret, survival, forecast)
  • Strong understanding of statistical methods parity between SAS and open-source tools
  • Experience with data platforms (SQL databases, cloud storage, data lakes)
  • Familiarity with CI/CD, version control, and testing frameworks for analytics code
Nice to Have
  • Experience in regulated environments (government, healthcare, finance)
  • Prior work modernizing legacy analytics platforms
  • Exposure to cloud analytics stacks (AWS, Azure, GCP)
  • Experience designing automated validation frameworks

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Tuition reimbursement
  • Vision insurance

Apply