Senior Machine Learning Scientist - Forecasting at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Scientist - Forecasting in the United States.

This role offers the opportunity to lead the development and deployment of advanced forecasting models that directly impact business planning, supply chain efficiency, and operational outcomes. You will own forecasting end-to-end—from model design and evaluation to production deployment and monitoring—while collaborating closely with business stakeholders, engineers, and the broader analytics team. The position emphasizes the use of rigorous evaluation, probabilistic modeling, and automated workflows to improve forecast accuracy and reliability. Ideal candidates thrive in a data-driven, fast-paced environment, enjoy solving complex problems, and are passionate about translating technical solutions into actionable business insights. Exposure to modern AI-assisted coding tools and agentic development workflows will accelerate the development of scalable, production-ready forecasting systems.

• Design, develop, and maintain forecasting models across multiple horizons and business segments to improve accuracy and usability
• Own end-to-end forecasting system lifecycle, including deployment, monitoring, refresh cadence, reliability, and iteration
• Build and maintain evaluation infrastructure for forecasting, including backtesting, error analysis, uncertainty quantification, automated tests, and regression checks
• Partner with stakeholders in operations, supply chain, inventory management, finance, and marketing to translate business needs into technical plans and measurable impact
• Implement agentic workflows to automate repetitive forecasting tasks, ensuring reproducibility, human oversight, and measurable quality gates
• Define success metrics tied to business outcomes and communicate assumptions, limitations, and risks to stakeholders
• Continuously improve model performance, reliability, and stakeholder usability through iterative updates and monitoring

Requirements:

• 5+ years of professional experience in machine learning, applied data science, or forecasting, including deploying models into production or operational workflows
• Strong expertise in time-series forecasting, feature engineering, evaluation/backtesting, and probabilistic modeling
• Proficiency in Python and SQL, with the ability to write production-quality, testable software
• Strong probability and statistics fundamentals, with experience communicating uncertainty in practical terms
• Demonstrated ability to collaborate effectively with cross-functional and non-technical stakeholders
• Preferred: PhD or equivalent experience in a quantitative discipline, experience with hierarchical/probabilistic forecasting, evaluation infrastructure, AI-assisted or agentic development workflows, and integrating forecasts with optimization or decision science

Benefits:

• Competitive salary range of $160,000 – $210,000 plus annual profit award or bonus eligibility
• Comprehensive healthcare coverage including medical, dental, and vision
• Retirement savings plans (401(k) with pre-tax and Roth options)
• Paid time off, educational assistance, and student loan repayment programs
• Short- and long-term disability, life/AD&D insurance, and flexible spending accounts
• Exposure to cutting-edge AI and ML workflows, and a collaborative, data-driven work culture
• Opportunities for career growth, mentorship, and working on high-impact forecasting systems