[Remote] Staff/Senior Machine Learning Scientist - Pricing/Forecasting (Open to Remote)

Note: The job is a remote job and is open to candidates in USA. Penguin Random House is the largest trade publishing company in the world. The Data Science team is seeking experienced Machine Learning Scientists to drive business-critical forecasting and pricing products, focusing on demand forecasting and e-book pricing optimization.ResponsibilitiesOwn end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining cadence, and ongoing reliability improvementsCreate and maintain production-safe evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version lineageBuild AI-assisted/agentic development workflows (e.g., Claude Code) to automate repetitive tasks with human review and measurable quality gatesDefine success metrics tied to business outcomes; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholdersWrite production-quality, testable code and support reproducible workflowsPartner across functions to translate business needs into a prioritized technical roadmap and measurable impactBuild and improve forecasts across time horizons and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational costProductize forecast outputs for stakeholders: clear definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape decisionsFeature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriatePartner with operations, supply chain, inventory, finance, and marketing leadersFull technical ownership of our automated e-book pricing system, including model architecture (Bayesian hierarchical models), inference pipelines, and decision logicDesign, run, and analyze backtests and live A/B tests to validate pricing strategies and measure real-world revenue impactEvaluate when to enhance the existing system versus migrate to new approaches; make and execute on architectural recommendationsBalance revenue optimization with brand considerations and sales stabilityCollaborate with the print book pricing team, identifying transferable techniques and shared infrastructureSkills5+ 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 programmingStrong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical termsStrong Python (or R) and SQL; writes production-quality, testable codeStrong communication and cross-functional collaboration with non-technical stakeholdersExperience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)8+ years in applied ML/data science, or PhD with 3+ years of applied experienceExperience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflowsDemonstrated ability to inherit complex systems built by others and make sound architectural decisions with high autonomyTechnical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team membersExperience with Claude Code or agentic workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectivelyLocation: Remote eligible (U.S.), but NYC area preferredBenefitsAnnual profit award or bonus, subject to company resultsMedical/Prescription drug insuranceDentalVisionHealth Care/Dependent Care Flexible Spending AccountHealth Savings AccountPre-Tax and Roth 401(k)Short and Long-Term Disability InsuranceLife/AD&D InsuranceCommuter BenefitsStudent Loan Repayment ProgramEducational AssistanceGenerous paid time offCompany OverviewPenguin Random House is a book publishing company that provides audiobooks, eBooks, and printing services. It was founded in 2023, and is headquartered in Melbourne, Victoria, AUS, with a workforce of 10001+ employees. Its website is https://www.penguinrandomhouse.com/.Company H1B SponsorshipPenguin Random House has a track record of offering H1B sponsorships, with 3 in 2025, 2 in 2024, 2 in 2023, 4 in 2022, 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.