Data Scientist – Forecasting, Optimization Consultant

🕒 June 24

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TeamBuilder

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $895k Seed Round - Teambuilder on 2023-08

Healthcare • Consulting • Logistics

<TeamBuilder> TeamBuilder is an intelligent, predictive scheduling platform purpose-built for ambulatory care that provides real-time operational intelligence to optimize staff and space utilization. The platform replaces spreadsheets and static tools with predictive analytics, schedule recommendations, and operational insights to reduce labor waste, improve coverage, and give enterprise visibility across clinics. TeamBuilder is offered as a B2B SaaS product targeted at health systems and ambulatory operations teams.

📋 Description

• Forecasting model ownership • Build and iterate production grade demand and volume forecasts • Evaluate models with backtesting and real-world performance • Maintain stability with retraining, drift monitoring, and failure handling • Improve models based on operational outcomes • Define input data contracts for optimization models including capacity, constraints, and demand • Transform raw data into model-ready features and constraints • Validate solver outputs and identify infeasibility, constraint conflicts, and scaling issues • Trace issues back to data assumptions and constraint design • Convert outputs into usable schedules and recommendations • Compare model output to operational reality and explain gaps • Run scenario analyses under different constraints • Improve pipelines that support forecasting and optimization quality • Test assumptions against real-world variation • Explain models and outputs to non-technical users including operators and clients • Translate tradeoffs between accuracy, feasibility, and constraints • Deliver clear recommendations tied to business outcomes • Participate in client conversations and defend model behavior

🎯 Requirements

• 5+ years in data science or applied analytics • Experience owning forecasting models in production • Strong Python and SQL, comfortable with large datasets • Experience working with messy data • Ability to explain technical work clearly to non-technical users

🏖️ Benefits

• Flexible work environment and supportive, intellectually curious teammates. • Mission-driven team tackling real healthcare challenges. • Freedom to experiment and innovate without layers of bureaucracy. • Opportunity to shape the company’s data science culture and R&D direction.