Senior Data Scientist, Publishing Operations

Senior Data Scientist, Publishing Operations


The Data Science team at Penguin Random House is looking for a senior data scientist in a pricing focused role.


The ideal candidate brings a collaborative, R&D-oriented, and analytical mindset. The role emphasizes written communication and a continuous documentation of learnings, as well as the ability to convey complex technical results to a nontechnical audience.



While pricing remains the focus of your responsibilities, it also intersects with many other parts of the business. In addition to working closely with the data science team on these problems, you’ll need to collaborate with decision makers across the business to tackle industry-specific problems.




  • An undergraduate degree in statistics, economics, mathematics, computer science, industrial engineering, data science, or a social science with a quantitative focus
  • 4+ years of professional experience programming in either R or Python (R preferred)
  • Aptitude with shell scripting, debugging tools, containerized environments, and any flavor of Linux
  • Experience executing and managing field experiments; familiarity with probability-based sampling designs
  • Familiarity with automated feature engineering, data imputation, and working with large datasets
  • A track record of applied Bayesian modeling/inference or machine learning techniques to real world data
  • Ability to communicate complex technical concepts to a business audience
  • Proficiency using Git version control software to contribute to a shared repository/codebase
  • Data munging skills; experience working with relational databases and fluency in SQL


Preferred qualifications:

  • A master’s degree or its foreign equivalent in a quantitative social science or related field. Alternately, two years of additional experience in a data science or ML role is a plus
  • Familiarity with the R packages CausalImpact, ggplot2, lme4, rstanarm, LOO, and the tidyverse suite
  • Expertise implementing models with Stan, WinBUGS, or other probabilistic programming framework
  • Experience developing, testing, and deploying web applications using Shiny or RStudio Connect
  • Experience building and maintaining R packages using packrat, Renv, and/or RSPM
  • Expertise using cloud-based computing platforms and network analysis techniques


Full-time employees are eligible for our comprehensive benefits program. Please apply using our online application process, and please include your resume and cover letter.


Penguin Random House is the leading adult and children’s publishing house in North America, the United Kingdom and many other regions around the world.  In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution.  Our vibrant and diverse international community of nearly 250 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children’s Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others.  More information can be found at


Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.



Company: Penguin Random House LLC 

Country: United States of America 

State/Region: New York 

City: New York 

Postal Code: 10019 

Job ID: 132025

132025Penguin Random House LLC 

Date:  Apr 6, 2021

New York, NY, US, 10019

Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

Job Segment: Operations Manager, Database, Scientific, Operations, Technology, Publishing, Engineering