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Job Type
Full Time -
Experience
2-4 year -
Salary
$70,000 - $170,000 / Year -
Location
Melbourne VIC, Australia -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, SQL, Data science techniques, A/B Testing, MATLAB Programming, Tableau, R Programming, SAS
Job Description
The Business Operations Analytics team drives operational excellence for our core consumer product. Our mission is to use data to tell the story around how we're pacing against goals and develop actionable insights to grow the business.
About the Role
As a Senior Data Scientist on the Business Operations Analytics team, you'll analyse business performance and recommend strategies to the executive team. You'll focus on international business operations and join a team with opportunities for growth. If you have a bias towards action, enjoy moving fast, and have demonstrated success in using analytics to drive business impact, we want to hear from you!
You're excited about this opportunity because you will…
- Provide insights to help business and product leaders understand marketplace dynamics, user behaviours, and long-term trends
- Collect, process, and clean data from disparate sources using SQL, R, Python, or other scripting and statistical tools to identify trends and opportunities
- Identify and quantify levers to help move key metrics through large data-sets
- Conduct deep-dives to build & execute improvement strategies with our Strategy & Ops teams
- Drive company initiatives by identifying key metrics and building executive-facing dashboards to track progress
- Present in key meetings and business reviews with our executive team and founders
- Participate in design, execution, and analysis of experiments; driving rigour and testing culture through our operations teams
We're excited about you because…
- 8+ years of experience with a mix of data analytics and management consulting/client-facing professional services
- Combination of SQL expertise and business acumen
- Experience building cross-functional relationships and communicating with executive leadership across multiple organisations
- Proficiency in one or more analytics & visualisation tools (e.g. Chartio, Tableau)
- Obsessive about building KPIs and tracking outputs daily
- Understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions) and familiarity with statistical packages, such as Matlab, R, SAS or Python
Nice to Have
- Experience with marketplaces, logistics, or economics
- ETL experience
Company Info.
DoorDashDoorDash, Inc. is a prominent company that manages an online platform for food ordering and delivery. It trades on the stock market under the symbol DASH. Notably, DoorDash holds the leading position in the United States with a substantial 56% market share in the food delivery sector, and it also boasts a robust 60% market share in the convenience delivery category.
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IndustryOnline food ordering
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No. of Employees16,800
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LocationSan Francisco, CA, USA
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Website
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Jobs Posted
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DoorDash is currently hiring Senior Data Scientist Jobs in Melbourne VIC, Australia with average base salary of $70,000 - $170,000 / Year.
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