Data Scientist

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Data Scientist Job Summary

We are seeking a highly skilled Data Scientist with deep expertise in forecast modeling, time‑series analytics, and demand planning to support data‑driven decision making in a large, complex operational environment. This role focuses on developing, validating, and scaling forecasting models that drive demand prediction, capacity planning, labor optimization, and overall operational efficiency.

The ideal candidate combines strong statistical foundations with practical experience translating forecasts into actionable business insights across cross‑functional teams.

Key Responsibilities

• Develop, deploy, and maintain forecasting models for demand, sales, and operational metrics using statistical, machine learning, and AI‑based approaches.
• Apply advanced techniques such as hierarchical forecasting, seasonality decomposition, promotion and event modeling, and scenario analysis.
• Design and evaluate forecast accuracy metrics, bias monitoring, and model performance diagnostics to identify trends, anomalies, and structural changes impacting forecast performance.
• Support downstream optimization and simulation use cases by providing robust forecast inputs and uncertainty estimates.
• Partner with operations and planning teams to translate forecasts into capacity, labor, and resource planning insights.
• Collaborate closely with engineering, operations, product, and business stakeholders to understand forecasting requirements and constraints.

Qualifications

Educational Background

• Master’s degree or Ph.D. in Data Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.

Core Technical Skills

• Expert‑level knowledge of forecasting and time‑series methods, including statistical and probabilistic approaches.
• Proficiency in Python for large‑scale data analysis and model development.
• Strong SQL skills, with the ability to write complex queries to extract, join, and aggregate large datasets for analytical and forecasting use cases.
• Familiarity with cloud‑based environments, particularly AWS, including working with data stored in cloud data warehouses and object storage.

Analytical Skills

• Excellent problem‑solving abilities with a strong focus on data‑driven decision making.

Communication Skills

• Strong verbal and written communication skills, with the ability to explain complex analytical concepts to non‑technical stakeholders.

Team Collaboration

• Ability to work effectively in a fast‑paced, multidisciplinary environment.

Preferred Qualifications

• Prior experience in industries such as retail, consumer goods, supply chain, logistics, or other large‑scale operations environments.
• Familiarity with machine learning algorithms and frameworks.
• Experience using data visualization tools such as Power BI, Domo, or similar platforms.