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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 ...

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit‑learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse. * Command of ...

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

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

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 ...

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

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

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

Must have demonstrated experience processing and analyzing data using statistical programming languages such as R (tidyverse) and/or Python (pandas). * Must have demonstrated experience creating data ...

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 ...

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

Showing results 41-60

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?

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:

What job categories do people searching Tidyverse jobs look for?

The top searched job categories for Tidyverse jobs are:

Infographic showing various Tidyverse job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution.

Quantitative Developer

Arrowstreet Capital

Boston, MA • On-site

$155K - $260K/yr

Full-time

Re-posted 25 days ago


Job description

Team Overview

We are looking for Quantitative Developers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

Our quantitative development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas.

As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.

Responsibilities

  • Your responsibilities are expected to grow in line with your experience and abilities. Depending on your competitive advantages, typical responsibilities may include:

  • Writing and maintaining Python and R code that supports the investment research production processes

  • Designing and creating software to enhance our data science technology stack

  • Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources

  • Implementing performance improvements in our data analysis and numerical programming code

  • Running POCs to evaluate new technologies and libraries in the PyData ecosystem

  • Staying up to date on the PyData ecosystem and evaluating new libraries and tools

  • Working with software engineers to design feeds for new data sources from third-party vendors

Qualifications

  • An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa - a quantitative degree with a computer science application

  • 1 - 3 years of relevant experience required

  • Demonstrated professional or academic success

  • Strong analytical, quantitative, and problem-solving skills

  • Experience implementing production-grade Python code for a data analytic business, preferably in investment management

  • Expert programming skills in Python with pandas and numpy

  • Expertise in OOP paradigms, data structures, and numerical algorithms

  • Understanding of probability and statistics, including linear regression and time-series analysis

  • Curiosity and a willingness to learn new technologies

  • Interest in financial markets (prior experience not required)

  • Excellent communication skills, including data visualization

  • High energy and strong work ethic

In addition, experience with any of the following would be valuable:

  • 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 environment

  • Basic familiarity with unit testing, continuous integration, DevOps, containerization

  • Interactive data visualization and dashboards

The base salary range for this position is $155,000 - $260,000 per year.

Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture.Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.