Senior Applied Data Scientist

📋 Description

• Design and develop models and algorithms to enable and improve the service of the fulfillment
• Collaborate with business/product team the goal to reduce fulfillment network variable cost
• Contribute to projects that measurably impact business goals, translating a business need to an
• Work cross functionally across Data Science, Engineering, Product, Planning and Operations to
• Contribute to data science and analytics best practices for the team and across the organization

🎯 Requirements

• A degree in a quantitative field like Operations Research, Applied Mathematics, Computer Science
• 5+ years of industry experience in solving optimization and/or machine learning problems and
• Experience developing, enhancing, and maintaining end-to-end data science production processes
• Software engineering experience to build software to solve real industrial problems, with a strong
• Proficient with frontier AI models to proactively identify the opportunities for business growth
• Proficient with Python and SQL. Experience with Snowflake, dbt, data visualization/reporting tools