This is a fully remote position, open to applicants in United States.

• Ownership of forecasting models

• Develop and refine production-grade demand and volume forecasts

• Assess models through backtesting and real-world performance evaluations

• Ensure stability with retraining, drift monitoring, and failure management

• Enhance models based on operational outcomes

• Establish input data contracts for optimization models, including capacity, constraints, and demand

• Convert raw data into model-ready features and constraints

• Validate solver outputs and identify issues such as infeasibility, constraint conflicts, and scaling problems

• Trace issues back to data assumptions and constraint design

• Transform outputs into actionable schedules and recommendations

• Compare model outputs with operational realities and clarify discrepancies

• Conduct scenario analyses under various constraints

• Enhance pipelines that support the quality of forecasting and optimization

• Test assumptions against real-world variations

• Clearly communicate models and outputs to non-technical users, including operators and clients

• Explain trade-offs between accuracy, feasibility, and constraints

• Provide clear recommendations linked to business outcomes

• Engage in client discussions and defend model behavior

• Over 5 years of experience in data science or applied analytics

• Proven experience managing forecasting models in a production environment

• Proficient in Python and SQL, with a strong comfort level working with large datasets

• Experience handling messy data

• Ability to articulate technical concepts clearly to non-technical audiences

• Flexible work environment and a supportive, intellectually curious team.

• Mission-driven team addressing significant healthcare challenges.

• Opportunity to experiment and innovate without bureaucratic hurdles.

• Chance to influence the company’s data science culture and R&D direction.

Data Scientist – Forecasting, Optimization Consultant

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