Penguin Random House | 企鹅兰登 · 1 day ago
Senior Machine Learning Scientist - Forecasting (Hybrid)
New York, NY
Full-time
Hybrid
Senior Level
$160K/yr - $210K/yr
5+ years expPenguin Random House is a leading publishing house that is AI-forward, investing in modern machine learning to shape the future of its products. They are seeking a Senior Machine Learning Scientist to drive the development of forecasting products and decision-support models, focusing on building and improving forecasting systems that support planning and operational decisions across the business.
Publishing
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
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 | 企鹅兰登
Penguin and Random House came together in 2013 to form the world’s leading global book publishing company.
501-1000 employees
H1B Sponsorship
Penguin Random House | 企鹅兰登 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 StageCompany data provided by crunchbase