Data Scientist

Sydney, New South Wales💼 Full-time🗓 2026-09-07 → 2026-09-26

Core

Uncover insights from data to drive operational decisions and actionable recommendations for the entire organization, focusing on marketplace dynamics, user behaviors, and long-term trends.

Role type

Senior IC data scientist (analytics & experimentation)

Builds

Full-cycle analytics experiments, reports, and dashboards

Domain

Logistics & Marketplace (Food Delivery)

Deliverable

dashboards & analysis

Required skills

SQL, Python or R, Regression techniques, A/B testing, Causal Inference, Hypothesis testing, ETL, Statistical analysis

Preferred skills

Experience leading strategic projects, Cross-functional collaboration, Ambiguity resolution

Technologies

SQL, Python, R, ETL tools

Responsibilities

Build full-cycle analytics experiments, reports, and dashboards; Identify and measure levers to move essential metrics; Produce recommendations using statistical techniques and hypothesis testing; Provide insights on marketplace dynamics, user behaviors, and long-term trends; Partner with product, business, finance, and executive teams to drive decisions.

Seniority

Senior, hands-on IC

Sourced via viewjobs · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.

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