Senior Manager, Data Science, Analytics - Drive

As a Senior Manager, Data Science, Analytics at DoorDash, your primary responsibilities include leading a team of data scientists to investigate complex business issues, providing actionable data-driven recommendations to shape the product roadmap, and overseeing metrics and analytics strategies. You'll also engage closely with cross-functional teams to ensure successful feature implementations, and report directly to senior leadership about your team's progress and insights.

To qualify for the Senior Manager, Data Science, Analytics role at DoorDash, candidates should possess a degree in a related field such as Math, Physics, or Computer Science, alongside 8+ years of experience in data science and analytics, including at least 3 years in a management role. Strong communication skills, experience with developing data pipelines, and a deep understanding of experimentation are also essential for success in this position.

DoorDash empowers its Analytics teams by providing a collaborative environment where data scientists can explore complex issues and uncover insights. The company emphasizes cross-functional collaboration, allowing teams to actively shape product direction through data-backed recommendations. Additionally, you'll get the chance to interface with senior leadership, ensuring that your work has significant impacts on the business.

The unique aspect of the Senior Manager, Data Science, Analytics position at DoorDash lies in the opportunity to lead analytics for a rapidly growing new business vertical, Drive. This role not only involves managing a team but also allows you to directly influence decisions and operations across the organization, making it ideal for someone passionate about data and its role in driving business success.

Team culture for the Senior Manager, Data Science, Analytics at DoorDash is dynamic and collaborative. The environment values diverse perspectives and encourages innovative problem-solving. You’ll be part of a team that is committed to delivering meaningful results and is supported by a strong framework that promotes growth, learning, and overall well-being.

To build a data-driven culture, I emphasize the importance of making decisions based on data insights rather than intuition. Encouraging open dialogue around data usage, providing training for team members regarding analytical tools, and leading by example by consistently leveraging data in our strategies are vital steps.

My experience with experimental design includes structuring experiments to test hypotheses within the analytics realm, ensuring that we define clear success metrics, and refining our approaches based on statistical analysis. Communicating results clearly to non-technical stakeholders is also a critical aspect of my approach.

I prioritize tasks and projects by aligning them with the strategic goals of the company and understanding the impact on business outcomes. Using a combination of stakeholder input and data metrics, I ensure that we focus on initiatives that yield the highest value.

In a previous position, I presented complex data findings to our executive team regarding product enhancements. I simplified the statistics into key takeaways, supplemented with visual aids, and focused on telling a story that illustrated the data’s implications on business strategy, which resulted in informed decision-making.

I stay updated with the latest data science trends by following key industry publications, participating in relevant webinars, and attending conferences. Additionally, I foster a culture of continuous learning within my team by sharing knowledge and encouraging participation in external training opportunities.

The metrics I consider most important include project completion rates, the quality and impact of analytical insights produced, team engagement scores, and our ability to influence key business decisions through data. These indicators help assess both individual and team performance.

Handling underperformance involves open communication and understanding the challenges faced by team members. I focus on setting clear expectations, providing constructive feedback, and collaborating to develop personal improvement plans that align with their skills and career aspirations.

Leading a remote team involves leveraging technology for effective communication and ensuring that team members remain engaged. I focus on setting clear objectives, scheduling regular check-ins, and fostering connections through virtual team-building activities to maintain a collaborative spirit.

To manage conflicts regarding data interpretations, I facilitate discussions that encourage each member to present their views while focusing on the data itself. My goal is to promote a constructive dialogue that leads to consensus based on objective analysis and collaboration.

I employ strategies that emphasize inclusive hiring practices and actively seek a diverse set of candidates. Additionally, I encourage an open environment where different perspectives are valued, which enriches our data analysis and provides comprehensive solutions to complex problems.