Applied Machine Learning Scientist

Job Description

Applied Machine Learning Scientist (Open to Remote)

Penguin Random House wouldn't perhaps be the first company that comes to mind when you think of a career in technology, but here's a number of reasons why we think you should change your mind: we're the number 1 publishing firm in the USA, likely globally, fresh off the back of an incredibly strong performance last year; we're going through a lot of change, particularly in technology, and have embraced and thrived in an environment new to us; we consider ourselves to be the pioneers of publishing and are always looking for ways to operate more efficiently with creativity in mind; we feel like we're akin to a startup environment, but within an established business that's excited to embrace new processes and technologies – you have all the fun and excitement within a company that's tried and tested!

Data is at the core of Penguin Random House's success and has fast become an integral part of how we drive our business model. As the number 1 largest company in the publishing industry, and off the back of an incredible performance in 2021, we're adding several positions to the Data Science team, starting with an Applied Machine Learning Scientist.

As an Applied Machine Learning Scientist on the team, and reporting into a director, you will be responsible for designing, building and maintaining our machine learning deployment infrastructure supporting the Data Science team. We're proud to be able to say that we're at the start of an exciting new stage within our journey, where you'll gain a LOT of exposure to more parts of the business than most in what is a highly visible group. Our directors report into the Vice President, who reports into the COO, so you'll regularly be exposed to C-level positions!

You will ideally come with 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.

Responsibilities:

At Penguin Random House, you will:
• Collaborate with data scientist(s) to create and implement testing strategy to test model readiness for deployment
• Optimize and package code written by data scientists for model deployment
• Deploy ML models, creating and orchestrating automated deployment and retraining pipelines where appropriate
• Manage and monitor ML models leveraging MLOPs best practices
• Continuously shorten the analytic product lifecycle without compromising accuracy

Requirements:
• 3-5+ years of experience with containers (Docker, Kubernetes), CI/CD tools (Jenkins, Travis, Circle, etc.) and Git
• Experience designing and deploying end-to-end ML workflows and 4+ years of professional experience programming in R or Python
• Aptitude with shell scripting, debugging tools, containerized environments, and any flavor of Linux
• Familiarity with automated feature engineering, data imputation, and working with large datasets
• Ability to communicate complex technical concepts to a business audience
• Data munging skills; experience working with relational databases and fluency in SQL

The salary range for this position is $120,000-$250,000, based on PHD completion, strong engineering background, and several years of experience and a track record of making a strong impact in commercial environments. Full-time employees are eligible for our comprehensive benefits program. Please apply using our online application process, and please include your resume with salary requirements.

Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications.

Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off.

Jobcode: Reference SBJ-rv5bnn-18-117-196-217-42 in your application.