Data Scientist / Senior Data Scientist

About The Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

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!

Requirements

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Qualifications

• Deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions
• Strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery
• Experience with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost
• A customer-first mindset, and thrive when working closely with product and platform teams to translate complex requirements into clean, scalable data models
• Skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations
• Track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns

Skills

• Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• Deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB
• Experience with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost
• Strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery
• Experience with large-scale, mission-critical storage workloads
• Experience with distributed data systems, including Kafka, Redis, and Cassandra
• Experience with NoSQL schema design and optimization
• Experience with caching strategies, partitioning, and consistency tuning to improve performance and efficiency
• Experience with workload-aware design patterns

Benefits

DoorDash offers a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act).

Pay

The national base pay ranges for this position within the United States, including Illinois and Colorado.

Schedule

DoorDash offers a flexible schedule for its employees.