Data Scientist / Senior Data Scientist

About the role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

• 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, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideate solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

About the team

The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.

About the role

We’re hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance.

• Design and implement highly scalable, fault tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions
• Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput
• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads
• Partner with product engineering and infrastructure teams to deeply understand domain specific data needs and guide them in adopting paved path storage solutions
• Serve as the DRI for solutioning engagements, owning modeling in Taulu from experimentation through launch and scale
• Shape the evolution of Taulu by identifying abstraction gaps and converting customer feedback into platform improvements
• Apply workload-aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency
• Drive adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems
• Promote clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

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.