About Zipline

Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.   Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.

About You and The Role  

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. The ideal candidate will be excited about developing high-quality code and user-friendly tools that help team members derive insights from our data. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better. 

What You'll Do  

• 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. 

What You'll Bring 

• 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.
• Nice to haves: 
• • Experience with Databricks or PySpark
  • Experience building interactive visualization suites
  • Experience with AWS
  • Experience with Docker
    

What Else You Need to Know   

The starting cash range for this role is $160,000 - 190,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Please Note

We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.

Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.

If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.