Data Scientist, Zipline

• Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib
• Strong understanding of data modeling and statistical analysis
• Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems
• Skilled at translating a general question or problem into a clearly defined algorithmic solution
• Ability to communicate clearly with both technical and non-technical audiences
• Ability to work independently and manage multiple projects simultaneously
• The ideal candidate is excited about solving ML, optimization, and causal inference problems and partnering with our Engineering teams to deploy your solutions in our software

Desirable

• We are looking for a highly skilled data scientist to join our growing Data team
• As a key member of the Data team, you will be primarily responsible for designing algorithms that improve operational efficiency
• In this role, you’ll work cross-functionally with members of our Operations, Engineering, and Data teams to identify opportunities, brainstorm solutions, and implement production-quality algorithms
• Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward
• Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements
• Define success criteria for your models so that you can measure impact and changes over time. You’ll be expected to communicate findings and drive continuous improvements
• Collaborate with Software Engineers to implement algorithms in production that scale gracefully
• Collaborate with stakeholders to prioritize projects and define requirements
• Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings
• Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference
• You'll tackle exciting challenges like designing algorithms to optimize aircraft allocation at our various distribution centers and improve on-time delivery rates for incoming orders
• Secondary responsibilities include analyzing data produced by our hardware devices and contributing to our internal data science libraries to help teams across the company