Key job responsibilities
Develop and maintain explainable ML/Statistical models, ensuring stakeholders can understand, trust, and take action based on model outputsCreate prototypes, run pilots, gather feedback, and iterate models to align with real-world operations and stakeholder goalsLead and contribute to ad-hoc deep dives to investigate anomalies or emerging patterns in the supply chainStay current on best practices in machine learning, statistics, and data science, and advocate for the right tools and methodologies
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Master's degree in computer science, engineering, mathematics or equivalent
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
משרות נוספות שיכולות לעניין אותך