• The ideal candidate will be excited about developing high-quality code and user-friendly tools that help team members derive insights from our data
• Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, Numpy, Scipy, and Matplotlib
• Proficiency with data orchestration tools like Prefect or Airflow
• Adept at summarizing large datasets visually that make complex results understandable at a glance
• Strong understanding of descriptive statistics, probability, and statistical modeling
• Experience working with continuous integration and continuous deployment processes and tools
• Skilled at translating a general question or problem into clearly defined analysis and presenting actionable insights
• Adept at prioritizing critical analysis requests and balancing multiple projects, deadlines, and stakeholders at once
• A desire to continuously improve your work and the work of others
• Experience listening to customers, identifying opportunities, and creating roadmaps and detailed project plans
• Enthusiasm to work closely with engineering teams and develop domain knowledge about hardware and software across the company
• Passion and excitement to serve as a technical mentor and thought leader

Desirable

• Zipline is hiring a senior data scientist to support analysis of the vast amounts of data produced by our autonomous aircraft and various IoT devices
• In this role, you'll lead efforts to develop tools for analyzing and visualizing data produced by hardware devices and use these tools to answer business critical questions
• Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better
• Drive essential improvements towards the user-friendliness and efficiency of our Python libraries for interfacing with Zipline data
• Partner with our data engineers to identify opportunities to simplify and speed up data analysis by making upgrades to our data pipelines and data formats
• Partner with upstream engineering teams to refine data logging patterns and resolve data quality issues
• Spend time with your customers and use their feedback to create a roadmap that you’ll execute against
• Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings
• Create reusable reference notebooks and material that will be leveraged by several teams to carry out high-value analyses
• Serve as an internal consultant on our data metrics definitions and actively steer efforts to raise code quality
• Document and evangelize the value of our data tools to engineers and other cross-functional partners