Data Scientist

The role

You will work within the global BizOps Analytics team to turn data into actionable insights for the Australia/New Zealand markets. You will focus on Merchant growth, operations, and monetization by identifying local opportunities.

What you will do

• Be a thought partner to Strategy & Operations and Executive teams
• Provide insights to understand marketplace dynamics, user behaviours, and long-term trends
• Use quantitative analysis and data presentation to understand business drivers
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other 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 to validate findings

Required qualifications

• 2+ years of experience in data analytics, consulting, or related quantitative roles
• Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• Insight to solve ambiguous problems in a structured, hypothesis-driven, data-supported way
• Experience leading or owning strategic projects to completion with multiple cross-functional teams
• Excellent stakeholder management skills
• Very experienced with SQL queries, Basic ETL, Regression techniques
• Proficiency in at least one programming language
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing

Nice to have

• Python or R

Benefits

• Comprehensive benefits and perks

About the company

DoorDash is a technology and logistics company that started by enabling door-to-door delivery. The company aims to empower local economies and is growing rapidly.