Senior Machine Learning Scientist - Forecasting (Hybrid) jobs in United States
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Penguin Random House ยท 9 hours ago

Senior Machine Learning Scientist - Forecasting (Hybrid)

Penguin Random House is the world's leading publishing house, seeking an experienced Senior Machine Learning Scientist to enhance their forecasting products and decision-support models. The role involves leading end-to-end forecasting initiatives, building and deploying forecasting models, and collaborating with cross-functional teams to ensure robust production capabilities.

AudiobooksBooksE-CommerceEBooksPrintingPublishing
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H1B Sponsor Likelynote

Responsibilities

Leads end-to-end forecasting initiatives from problem framing and modeling through deployment, monitoring, and iteration
Builds forecasting models using statistical and machine learning techniques; performs deep error analysis and back testing to understand performance trade-offs
Owns forecasting workflows across multiple time horizons and segments (for example channels, regions, formats, or business lines), improving both accuracy and usability for stakeholders
Partners with engineering and platform counterparts to productionize forecasting pipelines, including data pipelines, scheduled runs, monitoring, and refresh strategies
Defines and reports business impact of deployed forecasting solutions using rigorous measurement approaches; communicates risk, assumptions, and limitations clearly

Qualification

Machine LearningForecasting ExpertisePythonSQLTime-Series ModelingDeep Error AnalysisCloud ToolsMLOps PracticesCommunication SkillsTeam Collaboration

Required

5+ years of professional experience in machine learning or applied data science, including delivering models into production or operational workflows
Strong forecasting expertise, including time-series modeling, feature development, and rigorous evaluation/back testing
Strong proficiency in Python and SQL; experience working with large, complex datasets
Ability to communicate technical results clearly to non-technical audiences, including assumptions, limitations, and recommendations
Be cutting edge. Use the latest AI tools to develop well-designed and robust software

Preferred

PhD in a quantitative discipline (or equivalent practical experience)
Experience with probabilistic forecasting, uncertainty quantification, and operationalizing forecasts for downstream decisions
Experience integrating forecasting with optimization or decision science where appropriate
Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar)
Familiarity with modern MLOps practices and governance (monitoring, model versioning, explainability, observability)

Benefits

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

Company

Penguin Random House

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Penguin Random House is a book publishing company that provides audiobooks, eBooks, and printing services.

H1B Sponsorship

Penguin Random House has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (2)
2022 (4)
2021 (2)
2020 (1)

Funding

Current Stage
Late Stage

Leadership Team

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Manuel Sansigre
Deputy Chief Financial Officer and EVP, Head of M&A
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Brian Redler
SVP, Chief Information Security Officer
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Company data provided by crunchbase