Remote Data Scientist: Supply Chain Forecasting & Optimization

Recruiting from Scratch; United States; Remote; USD 100,000 - 132,000; Full time

Benefits offered by this job

401(k) plan

Competitive health insurance

Paid time off

Parental leave

Job summary

A progressive data-driven company in the U.S. is seeking a Data Scientist to join their Supply Chain Analytics team. You will develop machine learning models to forecast demand and optimize inventory, significantly impacting educational material distribution. Collaboration with cross-functional teams enhances insights from raw data to executive-facing decisions. The role requires strong Python and SQL skills and offers a competitive salary ranging from $100,000 to $132,000, plus bonuses and comprehensive benefits.

Qualifications

• 2+ years of experience in a Data Scientist role focused on supply chain forecasting.
• Strong foundation in statistical methods and time series forecasting.
• Expert-level Python skills for data cleaning, analysis, and modeling.
• Expert-level SQL skills for data analysis and exploration.
• Experience training and evaluating machine learning models.

Responsibilities

• Develop machine learning models to forecast demand and optimize inventory.
• Contribute across the full machine learning lifecycle.
• Apply advanced statistical and time series methods for actionable insights.
• Partner cross-functionally to deliver high-quality data products.
• Translate complex analyses into narratives for non-technical partners.

Skills

Supply chain forecasting

Demand planning

Logistics optimization

Statistical methods

Time series forecasting

Python

SQL

Machine learning libraries

AWS SageMaker

Communication skills

Tools

scikit-learn

PyTorch

XGBoost

Docker

Kubernetes

Snowflake

Job description

A progressive data-driven company in the U.S. is seeking a Data Scientist to join their Supply Chain Analytics team. You will develop machine learning models to forecast demand and optimize inventory, significantly impacting educational material distribution. Collaboration with cross-functional teams enhances insights from raw data to executive-facing decisions. The role requires strong Python and SQL skills and offers a competitive salary ranging from $100,000 to $132,000, plus bonuses and comprehensive benefits.