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

About Our ClientThe organization is a leading global trade publishing entity, producing adult and children’s books across numerous genres and subjects. It operates an extensive network of nearly 300 publishing brands and imprints, addressing the challenge of delivering high-quality literature worldwide. The organization emphasizes quality, innovation, and comprehensive execution throughout the publishing process, reaching diverse markets and audiences.About the OpportunityThe Staff/Senior Machine Learning Scientist - Forecasting role focuses on developing and managing advanced machine learning systems that support critical business forecasting functions. This position is vital for improving demand, inventory, supply chain, and resource allocation forecasts, ensuring accurate and actionable insights that influence key operational decisions. The role involves end-to-end ownership of ML systems, emphasizing reliability, model performance, and integration with business needs.ResponsibilitiesOwn and manage end-to-end machine learning systems including scoping, feature engineering, model development, validation, deployment, and ongoing monitoring.Develop production-grade evaluation infrastructure with automated backtests, uncertainty quantification, and data validation.Build AI-assisted development workflows to automate repetitive tasks with quality controls.Define and communicate success metrics aligned with business outcomes.Write production-quality, testable code supporting reproducible workflows.Collaborate across functions to translate business requirements into technical roadmaps.Enhance forecasts across multiple time horizons and business segments balancing accuracy, stability, interpretability, and cost.Productize forecast outputs with clear documentation and reporting.Apply feature engineering and probabilistic forecasting techniques.Partner with leaders in operations, supply chain, inventory, finance, and marketing.RequirementsSenior level: 5+ years of applied ML/data science experience with production model ownership.Expertise in forecasting methods or Bayesian statistical methods.Strong fundamentals in statistics and probabilistic forecasting.Proficiency in Python or R and SQL with production-quality coding skills.Effective communication and collaboration with non-technical stakeholders.Experience with AI-assisted development workflows.Staff level: 8+ years of experience or PhD with 3+ years applied experience.Proven ability to build and maintain end-to-end ML systems including monitoring and automated reporting.Capability to manage and improve complex ML architectures autonomously.Technical leadership and mentoring skills.Pay Range and Compensation PackageSenior level salary range: $180,000–$220,000.Staff level salary range: $210,000–$250,000.Eligibility for annual profit award or bonus, subject to company results.Equal Opportunity StatementOur client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.NoteRemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.