Data Scientist

As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology. You’ll create self-serve products (modeled data pipelines, advanced dashboards, predictive and descriptive models) that help all teams involved in Routing (Data Science, Operations, Product, Engineering) understand the performance of models and the opportunities to improve it.

Responsibilities Include:

• Understanding business context and gathering requirements
• Build reliable, efficient, products to monitor our AI/ML capabilities
• Educate stakeholders and leadership on model impacts, changes and analytical insights
• Create robust data pipelines to feed analyses
• Ensure data quality and data integrity through best practices in data integration
• Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments

What You Bring:

• Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science
• Experience using statistical modeling or machine learning techniques to solve business problems
• Strong SQL, Python and dashboarding skills
• Experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
• Experience with analytical relational databases like Redshift, BigQuery, or Snowflake
• Experience with vehicle routing problems or logistics is nice to have but not required