Data Scientist

doordashaustralia· 331 Analytics
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📍 Melbourne, VIC; Sydney, NSW

About this role

About the Team

At DoorDash, the Data Science and Analytics team uncovers insights and translates them into actionable recommendations that drive decisions across the organisation. Analytics is integral to all areas of DoorDash, and this role sits within the global BizOps Analytics team with a specific focus on the Australia/New Zealand (ANZ) markets.

About the Role

You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—with a specific focus on all things Merchant. 

In this role, you will work to identify and prioritise the local opportunities that matter most for Merchants to grow, operate, and monetize their business with DoorDash. This will cover areas such as merchant availability, menu quality, ads, promos, operational excellence, and more — improving outcomes for both Merchants and DoorDash.

This is a hybrid role, with 3 days in-office and 2 days remote.

You're excited about this opportunity because you will…

  • Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash
  • Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
  • Identify and measure levers to help move essential metrics and make recommendations
  • Work backwards from understanding and sizing problems to ideating solutions
  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings.

We're excited about you because you have…

  • 2+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • Experience leading /owning strategic projects to completion with multiple cross-functional teams
  • Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs
  • Very experienced with SQL queries, Basic ETL, Regression techniques 
  • Proficiency in at least one programming language, preferably Python or R
  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing.

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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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.

Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Frequently Asked Questions

Is the salary disclosed for the Data Scientist position at doordashaustralia?
The salary for this Data Scientist role at doordashaustralia is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist position at doordashaustralia located?
This Data Scientist role at doordashaustralia is based in Melbourne, VIC; Sydney, NSW. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Scientist at doordashaustralia belong to?
This Data Scientist position is part of the 331 Analytics department at doordashaustralia. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist position at doordashaustralia?
Click the "Apply Now" button on this page. You will be redirected to doordashaustralia's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Scientist job at doordashaustralia posted?
This Data Scientist position at doordashaustralia was posted on Oct 6, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
doordashaustralia
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