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

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, and they are seeking an reputed company Machine Learning Scientist to reputed company business-critical forecasting products. This role involves owning end-to-end ML systems, maintaining evaluation infrastructure, and collaborating across functions to translate business needs into technical roadmaps.

Responsibilities

• Own end-to-end ML systems: scoping, feature engineering, model development, 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

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 reputed company, 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

Benefits

• Annual profit award or bonus, subject to company results.

reputed company