Senior Data Scientist, Analytics - Unlock Insights and Drive Business Growth at DoorDash
Join the DoorDash Team as a Senior Data Scientist, Analytics and Shape the Future of Local Commerce
At DoorDash, we're on a mission to enable local economies and make a positive impact on the lives of our customers, Dashers, and merchant partners. As a Senior Data Scientist, Analytics, you'll play a critical role in driving business decisions across various teams and levels, leveraging your expertise in quantitative analysis to uncover insights and drive growth.
About the Role
The Examination group at DoorDash is seeking experienced Senior Data Scientists to lead measurement, strategy, and decision-making across the organization. As a Senior Data Scientist, Analytics, you'll work closely with cross-functional teams to identify business problems, develop data-driven solutions, and communicate insights to stakeholders. You'll have the opportunity to work on a wide range of exciting challenges, from customer acquisition and fraud prevention to marketing and supply and demand optimization.
Key Responsibilities
Utilize quantitative analysis and data visualization to drive business decisions and uncover insights that inform strategy
Design and implement full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Mentor junior analysts on advanced techniques and problem-solving approaches, promoting a culture of data-driven decision-making
Develop recommendations and apply statistical techniques and hypothesis testing to validate findings, driving business outcomes
Provide insights to business and product leaders on market dynamics, customer behaviors, and long-term trends, shaping the company's strategic direction
Identify and quantify levers to drive key metrics and make recommendations, optimizing business performance
Work backwards from understanding and measuring problems to ideating solutions, driving innovation and growth
Report against company goals by identifying key metrics and building executive-facing dashboards to track progress
Collaborate with engineering teams to implement, log, validate, and monitor logging, ensuring data quality and integrity
Essential Qualifications
Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or a related field
4+ years of experience in data analysis, consulting, or a related role, with a proven track record of driving business outcomes
Experience working with pipeline optimization, customer segmentation, cohort analysis, time series analysis, regression models, and other advanced statistical techniques
Proficiency in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages like Matlab, R, SAS, or Python
Experience with one or more analytics and visualization tools (e.g., Chartio, Looker, Tableau), with the ability to communicate complex data insights effectively
Strong problem-solving skills, with the ability to tackle ambiguous problems in a structured, hypothesis-driven, data-supported way
Preferred Qualifications
Advanced degree in a quantitative field, with a specialization in data science or a related area
Experience working in the tech industry, with a focus on e-commerce, logistics, or a related field
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
What We Offer
At DoorDash, we're committed to supporting our employees' happiness, well-being, and overall prosperity. We offer a comprehensive benefits package, including premium healthcare, health cost reimbursement, paid parental leave, and more. As a Senior Data Scientist, Analytics, you'll have the opportunity to:
Work on exciting and challenging projects that drive business growth and innovation
Collaborate with talented professionals who share your passion for data-driven decision-making
Develop your skills and expertise in a rapidly evolving field, with opportunities for career growth and advancement
Enjoy a flexible and remote work environment, with the ability to work from anywhere
About DoorDash
DoorDash is a technology and logistics company that's revolutionizing the way people live, work, and shop. We're on a mission to enable local economies and make a positive impact on the lives of our customers, Dashers, and merchant partners. With a strong focus on innovation, customer satisfaction, and community engagement, we're committed to building a better future for everyone.
Compensation and Benefits
We're offering a competitive salary of $28/hour for this role, along with a comprehensive benefits package that includes premium healthcare, health cost reimbursement, paid parental leave, and more. We believe in rewarding our employees for their hard work and dedication, and we're committed to providing a supportive and inclusive work environment.
Conclusion
If you're a motivated and experienced Senior Data Scientist, Analytics looking to drive business growth and innovation, we want to hear from you. Join the DoorDash team and play a critical role in shaping the future of local commerce. Apply now and take the first step towards a rewarding and challenging career with a company that's making a difference.
Apply Now
Apply Now
At DoorDash, we're on a mission to enable local economies and make a positive impact on the lives of our customers, Dashers, and merchant partners. As a Senior Data Scientist, Analytics, you'll play a critical role in driving business decisions across various teams and levels, leveraging your expertise in quantitative analysis to uncover insights and drive growth.
About the Role
The Examination group at DoorDash is seeking experienced Senior Data Scientists to lead measurement, strategy, and decision-making across the organization. As a Senior Data Scientist, Analytics, you'll work closely with cross-functional teams to identify business problems, develop data-driven solutions, and communicate insights to stakeholders. You'll have the opportunity to work on a wide range of exciting challenges, from customer acquisition and fraud prevention to marketing and supply and demand optimization.
Key Responsibilities
Utilize quantitative analysis and data visualization to drive business decisions and uncover insights that inform strategy
Design and implement full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Mentor junior analysts on advanced techniques and problem-solving approaches, promoting a culture of data-driven decision-making
Develop recommendations and apply statistical techniques and hypothesis testing to validate findings, driving business outcomes
Provide insights to business and product leaders on market dynamics, customer behaviors, and long-term trends, shaping the company's strategic direction
Identify and quantify levers to drive key metrics and make recommendations, optimizing business performance
Work backwards from understanding and measuring problems to ideating solutions, driving innovation and growth
Report against company goals by identifying key metrics and building executive-facing dashboards to track progress
Collaborate with engineering teams to implement, log, validate, and monitor logging, ensuring data quality and integrity
Essential Qualifications
Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or a related field
4+ years of experience in data analysis, consulting, or a related role, with a proven track record of driving business outcomes
Experience working with pipeline optimization, customer segmentation, cohort analysis, time series analysis, regression models, and other advanced statistical techniques
Proficiency in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages like Matlab, R, SAS, or Python
Experience with one or more analytics and visualization tools (e.g., Chartio, Looker, Tableau), with the ability to communicate complex data insights effectively
Strong problem-solving skills, with the ability to tackle ambiguous problems in a structured, hypothesis-driven, data-supported way
Preferred Qualifications
Advanced degree in a quantitative field, with a specialization in data science or a related area
Experience working in the tech industry, with a focus on e-commerce, logistics, or a related field
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
What We Offer
At DoorDash, we're committed to supporting our employees' happiness, well-being, and overall prosperity. We offer a comprehensive benefits package, including premium healthcare, health cost reimbursement, paid parental leave, and more. As a Senior Data Scientist, Analytics, you'll have the opportunity to:
Work on exciting and challenging projects that drive business growth and innovation
Collaborate with talented professionals who share your passion for data-driven decision-making
Develop your skills and expertise in a rapidly evolving field, with opportunities for career growth and advancement
Enjoy a flexible and remote work environment, with the ability to work from anywhere
About DoorDash
DoorDash is a technology and logistics company that's revolutionizing the way people live, work, and shop. We're on a mission to enable local economies and make a positive impact on the lives of our customers, Dashers, and merchant partners. With a strong focus on innovation, customer satisfaction, and community engagement, we're committed to building a better future for everyone.
Compensation and Benefits
We're offering a competitive salary of $28/hour for this role, along with a comprehensive benefits package that includes premium healthcare, health cost reimbursement, paid parental leave, and more. We believe in rewarding our employees for their hard work and dedication, and we're committed to providing a supportive and inclusive work environment.
Conclusion
If you're a motivated and experienced Senior Data Scientist, Analytics looking to drive business growth and innovation, we want to hear from you. Join the DoorDash team and play a critical role in shaping the future of local commerce. Apply now and take the first step towards a rewarding and challenging career with a company that's making a difference.
Apply Now
Apply Now