Data Scientist

DoorDash, Inc.; Melbourne; On-site; AUD 90,000 - 130,000; Full time

Job summary

DoorDash is seeking a data analytics professional to partner with the BizOps Analytics team and the ANZ Strategy & Operations leadership to translate data into actionable insights focused on Merchants in Australia and New Zealand.

You will build full-cycle analytics experiments, reports, and dashboards using SQL, Python, or R, identify levers to improve merchant growth, and present recommendations to cross-functional teams.

Qualifications

• 2+ years of data analytics, consulting, or related quantitative roles.
• Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
• Ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.

Responsibilities

• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, or R.
• Identify and measure levers to improve merchant growth, availability, and monetization.
• Partner with Strategy & Operations and ANZ leadership to inform decisions.
• Communicate findings with stakeholders and present actionable recommendations.

Skills

SQL queries

Python

R

Hypothesis testing

A/B testing

Regression techniques

Stakeholder management

Strategic project leadership

Education

Bachelor’s degree in Math/Physics/Statistics/Economics/Computer Science or related

Tools

ETL

Dashboards

Job description

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.