Data Scientist – Forecasting Models

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July 31

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OrderGrid

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eCommerce • SaaS • Retail

OrderGrid is a company that provides advanced software solutions for the food retail and distribution industries. They offer AI-powered solutions that optimize inventory management, boost operational efficiency, and drive revenue growth. OrderGrid's services include demand forecasting, on-demand grocery solutions, warehouse management systems (WMS), and order management systems (OMS). The company caters to grocers, food distributors, and direct-to-consumer (DTC) brands, ensuring high order accuracy, increased sales, and minimal waste. Their innovative software aims to elevate operational excellence by enhancing inventory control and providing real-time inventory visibility.

51 - 200 employees

🛍️ eCommerce

☁️ SaaS

🛒 Retail

📋 Description

• This is a remote position. • Position Title: Data Scientist – Forecasting Models (Full-Time or Contract) • Location: This is a remote role, but preference will be given to candidates who can cover EST time-zone. • Team: Product – R&D • Reports to: Principle Data Scientist • Your Mission: This is not your typical data science role. At OrderGrid, you’ll design and deploy models that directly drive core business decisions from automated replenishment to in-store picking optimization. • You’ll report directly to our Principal Data Scientist, working side by side within the Product team. • Expect tight loops with PMs, engineers, and end users. We move fast and hold a high bar. • You’ll tackle complex, high-variance data challenges and turn them into production-grade models that drive real-time decision-making and business growth for our customers.

🎯 Requirements

• Academically Strong: You hold a Master’s or PhD in a STEM field such as Mathematics, Statistics, Computer Science, or Engineering. • Experienced in Forecasting: You have 2+ years of hands-on experience in machine learning, with a strong focus on time series forecasting and predictive modeling. • Statistically Fluent: You bring deep knowledge of probability, statistics, and ML algorithms—especially as they apply to demand prediction and forecasting. • Python Native: You’re proficient in Python and core ML libraries like scikit-learn, pandas, and numpy, plus time series frameworks. • Data Engineering Pro: 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. • Collaborative by Nature: You’re used to working within interdisciplinary teams and know how to translate messy product or customer inputs into smart technical outputs. • Fast, Clear, Effective: You thrive in high-velocity environments, juggle complexity well, and communicate clearly under pressure. • Bonus Points: 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.

🏖️ Benefits

• Competitive Compensation: Including paid time off and health benefits. • Flat Team: Work side by side with the co-founding team. • Innovative Environment: Work with cutting-edge technology in a dynamic, fast-paced setting. • Impactful Work: Be part of a mission-driven company making a real difference.