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Principal Data Scientist – Business Optimization & Growth
Principal Data Scientist – Business Optimization & GrowthZipline • South San Francisco, California, USA
Principal Data Scientist – Business Optimization & Growth

Principal Data Scientist – Business Optimization & Growth

Zipline • South San Francisco, California, USA
18 days ago
Job type
  • Full-time
Job description

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 worlds 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 Rwandas national blood delivery network and Ghanas 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. Using 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 on a mission to transform how goods move by making autonomous drone delivery the fastest most reliable and most delightful logistics system in the world. To deliver on that promise we need to master the data-rich highly dynamic environment of last-mile logistics.

Were seeking a Principal Data Scientist to lead the development of models algorithms and decision frameworks that drive both customer growth and business optimization. This is not a role for someone who just builds dashboards or runs ad hoc analyses youll design and deploy optimization engines that directly shape customer experience marketplace dynamics and the economics of our business.

With 10 years of professional experience youre comfortable owning ambiguous high-stakes problems end-to-end from problem framing through to production-ready solutions. Your work will ensure Zipline grows fast scales efficiently and delivers a magical experience that keeps customers coming back.

What Youll Do

  • Marketplace Growth & Engagement : Use statistical and optimization techniques to determine which restaurants / customers to onboard how to present them digitally and what mix maximizes engagement and repeat ordering.
  • Pricing & Capacity Optimization : Build models that set optimal prices balance supply and demand and define customer-facing constraints to maximize revenue while ensuring a great experience.
  • Customer Experience Tradeoffs : Design frameworks that quantify the ROI of business decisions (e.g. packaging quality delivery timeliness customer support investment) and recommend commercial strategies.
  • Marketing Analytics : Run large-scale A / B tests on customer communications optimize marketing language and digital merchandising and build models that accelerate customer acquisition and retention.
  • Data Leadership : Partner with engineering operations and growth teams to embed data science into the core of decision-making across the business.

What Youll Bring

  • 10 years of professional experience with significant work as a data scientist optimization researcher or applied decision scientist ideally in last-mile delivery e-commerce or marketplace platforms .
  • Deep expertise in applied optimization causal inference statistical modeling and machine learning.
  • Strong engineering skills in Python and SQL with experience deploying algorithms into production systems.
  • Track record of building and scaling experimentation platforms (A / B testing marketplace simulations demand forecasting).
  • Business acumen and the ability to translate complex models into simple actionable decisions for cross-functional stakeholders.
  • Experience with pricing optimization supply-demand balancing or customer lifecycle modeling strongly preferred.
  • Reliability self-sufficiency conscientiousness and comfort navigating ambiguous high-impact problems in a fast-paced environment.
  • Must be eligible to work in the US.
  • Why This Team

  • Youll work on problems that directly define the success of Ziplines B2C business : how fast we grow how efficient we are and how magical the customer experience feels.
  • Your work wont sit on a shelf the models you build will be deployed in production and used daily to drive millions of decisions.
  • Youll shape the data science culture at Zipline bringing senior-level expertise to a fast-growing team.
  • Youll join a group that values rigor speed and creativity solving some of the hardest optimization problems in modern logistics.
  • What Else You Need to Know

    Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard torace color ancestry national origin religion or religious creed mental or physical disability medical condition genetic information sex (including pregnancy childbirth and related medical conditions) sexual orientation gender identity gender expression age marital status military or veteran status citizenship or other characteristics protected by state federal or local law or our other policies.

    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!

    Required Experience :

    Staff IC

    Key Skills

    Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Principal Data Scientist • South San Francisco, California, USA

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