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Lead Data Scientist

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DoorDash
Melbourne VIC
hybrid
Full Time

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Posted 5 months ago
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About the Team

The Analytics team is looking for an experienced Data Scientist to serve as the Analytics leader in Australia, working cross-functionally with the local Strategy & Operations team as well as the central Analytics org to drive data informed decisions and impact.

About the Role

Data is at the heart of every decision we make in DoorDash, and we are looking for an individual to serve as the Analytics leader for our Australia executive team as it relates to data driven decision making and problem solving.

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy taking a data driven hypothesis to an impactful outcome, there are many opportunities to do so in this role. 

You're excited about this opportunity because you are…
  • Deeply passionate and curious about both business and analytics / data science and have a mindset to proactively identify problems and solve them
  • A bias for action oriented individual, comfortable rolling up your sleeves to get the job done
  • Effective at navigating within a larger analytics organization and able to serve as the connective tissue between Australia and the rest of our business
  • A collaboration-first individual that enjoys working on problems as a cross-functional team
We're excited about you because you have…
  • A degree in Math, Physics, Statistics, Economics, Computer Science, Business or a similar domain
  • 9+ years of experience in Data Science and Analytics, primarily in related industries
  • The technical ability in SQL / Python to own a solution end to end
  • The business intuition and problem solving skillset to manage the complexity of our 3-sided marketplace
  • Excellent communication skills, capable of taking complex topics and distilling them down for non-technical stakeholders to drive buy-in
  • Demonstrated the ability to create impact with your analysis, as well as prioritize effectively between 80/20 solutions and more nuanced approaches

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. 

If you need any accommodations, please inform your recruiting contact upon initial connection.