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About the Role

Penguin Random House is seeking an experienced Machine Learning Scientist to drive business-critical forecasting products. The role may be filled at the Senior or Staff level depending on experience and interview performance.

Responsibilities

• Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment, monitoring/alerting, retraining cadence, and ongoing reliability improvements.
• Create and maintain production-safe evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version lineage.
• Build AI-assisted/agentic development workflows (e.g., Claude Code) to automate repetitive tasks with human review and measurable quality gates.
• Define success metrics tied to business outcomes; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders.
• Write production-quality, testable code and support reproducible workflows.
• Partner across functions to translate business needs into a prioritized technical roadmap and measurable impact.
• Build and improve forecasts across time horizons and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost.
• Productize forecast outputs for stakeholders: clear definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape decisions.
• Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate.
• Partner with operations, supply chain, inventory, finance, and marketing leaders.

Requirements

• Senior level: 5+ years in applied ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)
• Strong forecasting expertise (time-series methods, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical methods and probabilistic programming
• Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms
• Strong Python (or R) and SQL; writes production-quality, testable code
• Strong communication and cross-functional collaboration with non-technical stakeholders
• Experience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)
• Staff level: 8+ years in applied ML/data science, or PhD with 3+ years of applied experience
• Experience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflows
• Demonstrated ability to inherit complex systems built by others and make sound architectural decisions with high autonomy
• Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members

Skills

• Machine Learning
• Data Science
• Forecasting
• Time-series methods
• Bayesian statistical methods
• Probabilistic programming
• Statistics
• Python
• R
• SQL
• AI-assisted development workflows
• Agentic workflows

Location

• Remote eligible (U.S.)
• NYC area preferred

Work Type

• Remote
• Onsite (for final interviews)

Experience Level

• Senior
• Staff

Education Level

• PhD (for Staff level)

Salary/Compensations

• Senior level: $180,000–$220,000
• Staff level: $210,000–$250,000
• Annual profit award or bonus

About the Company

• 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 300 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/.

Equal Opportunity

• All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
• All your information will be kept confidential according to EEO guidelines.