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Machine Learning Manager

The Data Science practice at Penguin Random House is seeking a senior contributor with experience applying machine learning to drive commercial impact. You’ll be joining a tight-knit group of ten highly skilled scientists and engineers that delivers scaled predictive solutions to functions across the organization, so this will be a rich role in which you’ll have the opportunity to significantly influence a variety of domains including supply chain and operations, sales, marketing and ecommerce/personalization. There is also a global component to this role in which you’ll collaborate with peers in Canada, UK, Germany, Spain and elsewhere to further scale the impact of your work.

 

The immediate remit for this role will be around demand forecasting, which is a well-defined business case with a clear, clean – and, in at least a couple of obvious ways, improvable – performance benchmark established by Amazon. The ideal candidate will have experience with and active interest in deep-learning-based, probabilistic time series models.

 

PRH is a private company with a deliberate, long-horizoned approach to innovation and you’ll be working alongside best-in-industry DevOps and Data Engineering teams. The company pays competitively and has consistently rated in the top 3 in Forbes “Best Places to Work” among mid-sized companies. Your colleagues will be engaged with, curious about, and motivated by their work but also value work-life balance and outside-of-work experiences. If this culture sounds appealing then it will be a good fit.

 

**The team is open to considering candidates from a senior individual contributor through to manager level candidates who have led small teams**

 

Responsibilities

  • Build machine learning models for business cases in demand forecasting, supply chain management, marketing, sales, and ecommerce/personalization
  • Develop new algorithms, features and techniques building upon the latest results from the academic research community
  • Propose and validate hypotheses to direct our business road map
  • Focus on identifying and solving stakeholder problems with simple and elegant solutions
  • Design, develop, and implement production level code. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment.
  • Take ownership. Understand the needs of various teams, distill those into coherent projects, and implement them with an eye on long-term impact.
  • Be a leader. Use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible-sounding projects.
  • Be ambitious. Find and eagerly tackle hard problems.
  • Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them. You will have access to resources and will need to learn how to use them effectively.

 

Requirements:

  • Masters with 8+ years OR PhD with 3+ years of applied work experience in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field
  • Proficiency in algorithm and model development, model validation and model implementation for large-scale applications in online commercial settings
  • Experience distilling stakeholder requirements into problem definitions, dealing with ambiguity and competing objectives
  • Ability to apply theoretical models in an applied environment
  • Strong fundamentals on a broad set of ML approaches and techniques
  • Strong fundamentals in problem solving and algorithm design

 

Distinguishing Experience:

  • Peer reviewed scientific contributions in relevant field
  • Strong interest in learning, researching, and creating new technologies with commercial impact
  • Experience with in deep-learning-based, probabilistic time series models

 

 

For Canadian candidates: we are looking for someone located in Canada that is interested in working remotely with the PRH US team.

For US based candidates: this role is based in the US and will not require relocating to Canada.

 

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. 

 

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 http://www.penguinrandomhouse.com/.
 
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: 204581

Date:  Jun 14, 2022
Location: 

New York, NY, US, 10019


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

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