Senior Data Scientist (Marketing)

Intevoo; Australia; On-site; AUD 140,000 - 190,000; Full time

Job summary

DoorDash Australia is seeking a Senior Data Scientist (Marketing) to guide measurement, strategy, and decision-making for ANZ marketing efforts. You will own projects end-to-end, collaborating with Marketing, Finance, and Executive teams to improve campaign ROI.

You will design and analyze experiments, generate customer insights, and develop self-serve analytics tools to empower stakeholders. Strong SQL, ETL, and programming skills are essential.

Qualifications

• 7+ years of quantitative analysis experience, preferably in marketing analytics.
• Strong SQL and ETL experience with data pipeline development.
• Experience with experimentation methods (A/B testing, causal inference) and interpreting results.
• Proficiency in Python (or R) for data analysis and modeling.
• Ability to communicate insights to cross-functional stakeholders.

Responsibilities

• Deep dive into digital A/B test results to derive actionable insights.
• Analyse campaign performance and present findings to leadership.
• Identify customer segments and optimise marketing strategies.
• Scale measurement/reporting solutions for future analytics.
• Collaborate with agencies and vendors to implement measurement tools.
• Contribute to global reporting on brand campaign impact.

Skills

SQL

ETL

Experimentation

A/B testing

Causal inference

Python

R

Data visualization

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Power BI

Job description

# Senior Data Scientist (Marketing)DoorDash Australia Published on 10/7/2026### Job descriptionAbout the TeamAt 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 team with a specific focus on the ANZ markets.About the RoleThe Data Science and Analytics team is looking for a Marketing Analytics Manager to guide measurement, strategy, and decision-making across our Australia and New Zealand Marketing efforts. This is an individual contributor role that will take strong ownership of projects and drive them to completion, collaborating with a range of cross-functional teams.Some of the impactful projects you will work on include:Deep diving into results from digital A/B tests to generate insights that improve marketing performanceAnalysing campaign results and presenting insights to leadershipExploring our customer base to identify target segments and optimise marketing strategiesScaling measurement and reporting solutions to set us up for future success.You're excited about this opportunity because you will...Be a trusted thought partner to our Marketing, Finance, and Executive teams, helping shape decisions on 'what's next' for DoorDashDesign and analyse experiments to measure the ROI of our digital marketing spend and develop actionable recommendationsGenerate insights on customer segments and our most valuable consumers to identify opportunities to improve marketing performanceWork with agencies and third-party vendors to develop and implement measurement solutionsContribute to global reporting on the impact of brand marketing campaigns to inform channel investment decisionsLeverage AI to develop tools and workflows that enable marketing stakeholders to self-serve and democratise insights.We're excited about you because you have...Degree in a quantitative field (e.g. Economics, Statistics, Mathematics) and 7+ years of industry experience in a quantitative analysis roleExperience in marketing science or analytics is strongly preferredStrong experience with SQL and basic ETL processesExperience with experimentation techniques (A/B testing, causal inference) and interpreting hypothesis testingAbility to communicate clearly and effectively with cross-functional partners of varying technical levels and drive impactEntrepreneurial mindset with a demonstrated ability to own projects from start to completion in a fast-paced environmentExcellent communication skills and proven experience working with cross-functional stakeholdersAbility to use back-of-the-envelope modelling and thought experiments to guide decision-making in highly uncertain environmentsStrong attention to detail, with the ability to think deeply about analytics and measurement problems to derive actionable insightsFamiliarity with multivariate regressionProficiency in at least one programming language (preferably Python; R or another language is also acceptable)Proficiency in one or more analytics and visualisation tools.About DoorDashAt 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 InclusionWe'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.