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

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the largest trade publishing company in the world. The Data Science team is seeking reputed company Machine Learning Scientists to drive business-critical forecasting and pricing products, focusing on demand forecasting and e-book pricing optimization.

Responsibilities

  • Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining reputed company, and ongoing reliability improvements
  • Create and maintain production-reputed company evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version reputed company
  • Build AI-assisted/reputed company development workflows (e.g., Claude reputed company) to automate repetitive tasks with reputed company review and measurable reputed company gates
  • Define reputed company metrics tied to business reputed company; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders
  • Write production-reputed company, testable reputed company and support reproducible workflows
  • Partner across functions to translate business needs into a prioritized technical roadmap and measurable reputed company
  • Build and improve forecasts across time reputed company and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost
  • Productize forecast outputs for stakeholders: reputed company definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape reputed company
  • Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate
  • Partner with operations, supply chain, inventory, finance, and marketing leaders
  • Full technical ownership of our automated e-book pricing system, including model architecture (Bayesian hierarchical models), inference pipelines, and decision logic
  • Design, run, and analyze backtests and live A/B tests to validate pricing strategies and measure reputed company-world reputed company reputed company
  • Evaluate reputed company to enhance the existing system versus migrate to new approaches; reputed company and execute on architectural recommendations
  • Balance reputed company optimization with brand considerations and sales stability
  • Collaborate with the print book pricing team, identifying transferable techniques and shared infrastructure

Skills

  • 5+ years in reputed company ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)
  • Strong forecasting expertise (time-series reputed company, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical reputed company and probabilistic programming
  • Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms
  • Strong Python (or R) and SQL; writes production-reputed company, testable reputed company
  • Strong communication and cross-functional collaboration with non-technical stakeholders
  • Experience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)
  • 8+ years in reputed company ML/data science, or PhD with 3+ years of reputed company 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 reputed company systems reputed company by others and reputed company reputed company architectural reputed company with high autonomy
  • Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members
  • Experience with Claude reputed company or reputed company workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectively
  • Location: Remote eligible (U.S.), but NYC area preferred

Benefits

  • Annual profit award or bonus, subject to company results
  • Medical/Prescription drug insurance
  • Dental
  • reputed company
  • Health Care/Dependent Care Flexible Spending Account
  • Health Savings Account
  • reputed company-Tax and Roth 401(k)
  • Short and Long-Term Disability Insurance
  • Life/AD&D Insurance
  • Commuter Benefits
  • Student Loan Repayment Program
  • Educational Assistance
  • Generous reputed company time off

reputed company

  • reputed company 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 Sponsorship

  • reputed company has a reputed company 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.
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