Senior Applied Data Scientist
Core
Build automated decision-making processes and data-driven insights for fulfillment speed, reliability, and cost efficiency in global logistics.
Role type
Senior Applied Data Scientist (Operations Research & Machine Learning)
Builds
Automated decision-making solutions for fulfillment network optimization, inventory management, and delivery service.
Domain
Global logistics, supply chain, and fulfillment.
Deliverable
production ML models
Required skills
Operations Research, Machine Learning, Python, SQL, system architecture, end-to-end data science production processes, frontier AI models.
Preferred skills
Snowflake, dbt, data visualization/reporting tools (e.g., Looker).
Responsibilities
Design and develop models/algorithms for optimal inventory management and reliable delivery; collaborate to reduce fulfillment network variable costs; translate business needs into actionable development plans; implement production processes and reporting to achieve KPIs; contribute to data science best practices.
Seniority
Senior, hands-on IC
