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Staff Data Scientist, Supply & Demand at Foodsmart. Location Information: United States. Foodsmart is the largest telehealth network of registered dietitians in the country with a mission to make eating well simple.. Develop and own the foundational models for our two-sided marketplace, focusing on the interplay of patient demand and RD supply.. Build, deploy, and own the company’s core Supply & Demand models, delivering a leadership dashboard to drive decisions on marketing focus and Registered Dietitian (RD) recruiting.. Partner with the FP&A team to provide the core models that will be a key input into their revenue and forecasting processes.. Utilize techniques like Monte Carlo simulation, time-series forecasting, and mixed-integer programming to model complex scenarios and recommend optimal strategies.. Develop and own an end-to-end demand forecasting and workforce planning model that integrates marketable lives, marketing conversion dynamics, RD state licensure requirements, and supply constraints to optimize RD staffing and scheduling in line with forecasted demand and business priorities.. Collaborate with engineering partners to productionalize models, ensuring they are scalable and integrated into systems.. Partner closely with leadership across Marketing, Finance, and Clinical Operations to translate insights into strategic business decisions.. Serve as a subject matter expert on marketplace dynamics, effectively communicating complex findings to executive audiences.. Bachelor’s degree, ideally in a quantitative or technical field (e.g., Economics, Operations Research, Statistics, Computer Science); Master’s degree is a plus.. 8+ years of experience in data science with a proven track record of building models to solve complex marketplace, supply chain, or logistics problems.. Expert-level proficiency in Python (pandas, scikit-learn, PuLP, etc.) and SQL.. Hands-on experience with dbt for data modeling and BI dashboard development.. Understanding of FP&A revenue modeling and strong excel skills.. Deep expertise in predictive modeling, optimization techniques and measuring the impact of work.. Experience in a strategic data science role, where responsible for foundational analysis, operational reporting and the development of production models.. Experience partnering with engineering to deploy models into production environments (experience with AWS SageMaker is a plus).. Excellent communication skills with the ability to distill complex models and analyses into clear, actionable recommendations for an executive audience.. Pay range:. $160K - $180K. Remote-First Company. Unlimited PTO. Flexible & remote location. Healthcare Coverage (Medical, Dental, Vision). 401k, bonus, & stock options. Registered Dietitian Sessions. Wellness reimbursement