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OrderGrid · 5 months ago

Data Scientist – Forecasting Models

United States

Full-time, Contract

Remote

Entry, Mid Level

2+ years exp

OrderGrid is redefining what's possible in inventory management and fulfillment for the grocery, food retail, and healthcare industries. They are seeking a Data Scientist specializing in Forecasting Models to design and deploy models that drive core business decisions, focusing on automated replenishment and in-store picking optimization.

E-CommerceLogisticsPackaging ServicesSupply Chain ManagementTransportation

Responsibilities

Build, maintain, and deploy time series forecasting models tailored for food-based and perishable inventory use cases

Clean, prepare, and transform large volumes of raw data to support robust feature engineering

Conduct exploratory data analysis (EDA) and surface valuable insights to drive modeling decisions

Apply advanced ML techniques to solve real-world business problems that impact operational efficiency and margin

Collaborate tightly with PMs and engineers to translate customer feedback into fast model iterations

Contribute to model deployment and forecasting pipeline improvements, while supporting broader data engineering efforts

Use tools like Cursor, Claude, or similar to speed up development and push the boundaries of what’s possible

Qualification

Machine LearningTime Series ForecastingPythonStatistical AnalysisData EngineeringCuriosityExploratory Data AnalysisAI Tools FamiliarityDomain KnowledgeCollaborationCommunicationProblem SolvingAdaptability

Required

You hold a Master's or PhD in a STEM field such as Mathematics, Statistics, Computer Science, or Engineering

You have 2+ years of hands-on experience in machine learning, with a strong focus on time series forecasting and predictive modeling

You bring deep knowledge of probability, statistics, and ML algorithms—especially as they apply to demand prediction and forecasting

You're proficient in Python and core ML libraries like scikit-learn, pandas, and numpy, plus time series frameworks

You've built models from the ground up, engineering features, preprocessing data, and working with large-scale raw datasets to create clean, production-ready inputs

You're used to working within interdisciplinary teams and know how to translate messy product or customer inputs into smart technical outputs

You thrive in high-velocity environments, juggle complexity well, and communicate clearly under pressure

Preferred

Familiarity with SQL, experience with TensorFlow or PyTorch, use of modern AI coding tools like Cursor or Claude, and domain knowledge in grocery, food retail, or perishables