Data Scientist

Summary

Recruiting from Scratch is representing a leading organization in next-generation curriculum and assessment programs, dedicated to serving K–12 students and educators across the United States. The Data Scientist role focuses on building and enhancing forecasting and optimization models to support demand planning and inventory decisions, while translating analytical findings into actionable recommendations.

Responsibilities

• Build, maintain, and enhance forecasting models utilizing time-series approaches such as ARIMA/SARIMA and Prophet to support demand planning and inventory decisions
• Develop and contribute to optimization models using advanced tools including XGBoost, scikit-learn, PyTorch, and tidymodels
• Write and optimize complex SQL queries to extract, transform, and analyze large datasets effectively
• Translate analytical findings into clear, actionable recommendations for non-technical stakeholders, focusing on business outcomes like cost savings and improved decision-making
• Collaborate closely with engineers and cross-functional partners to integrate models into production workflows
• Identify and pursue opportunities where data science can create measurable impacts, even in undefined areas

Skills

• 2–8 years of hands-on experience as a Data Scientist, with a focus on building and deploying models in a professional setting
• Demonstrated experience in supply chain analytics, including inventory management, demand planning, or stockout reduction, with a strong grasp of time-series forecasting
• Proficient in SQL, capable of writing complex queries to analyze large datasets independently
• Strong programming skills in Python or R, with familiarity in common modeling approaches and techniques
• Excellent analytical problem-solving skills, able to decompose vague business questions into structured analytical frameworks
• Experience working in environments focused on physical goods, inventory, or logistics challenges, such as education publishing, retail, or consumer goods
• A genuine interest in forecasting and optimization problems, with a commitment to long-term growth and mission alignment

Qualifications

Must Haves

• 2–8 years of hands-on experience as a Data Scientist, with a focus on building and deploying models in a professional setting
• Demonstrated experience in supply chain analytics, including inventory management, demand planning, or stockout reduction, with a strong grasp of time-series forecasting
• Proficient in SQL, capable of writing complex queries to analyze large datasets independently
• Strong programming skills in Python or R, with familiarity in common modeling approaches and techniques
• Excellent analytical problem-solving skills, able to decompose vague business questions into structured analytical frameworks

Nice to Haves

• Experience working in environments focused on physical goods, inventory, or logistics challenges, such as education publishing, retail, or consumer goods
• A genuine interest in forecasting and optimization problems, with a commitment to long-term growth and mission alignment