Data Masked
Data Scientist / Senior Data Scientist, Analytics
Data Masked, Los Angeles, California, United States, 90079
Data Scientist / Senior Data Scientist, Analytics
About The TeamThe Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company. 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.Please apply here for all non-managerial levels within the following analytics teams:Consumer & GrowthBusiness OperationsDasher & LogisticsCustomer Experience & IntegrityMerchant, Ads & SalesNew VerticalsInternational Data ScienceAbout The RoleAs 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!You're Excited About This Opportunity Because You Will…Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our businessBuild full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical toolsWork with and mentor junior analysts on how to use more advanced methods and solve challengesProduce recommendations and use statistical techniques and hypothesis testing to validate your findingsProvide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trendsIdentify and measure levers to help move essential metrics and make recommendationsWork backwards from understanding and sizing problems to ideating solutionsReport against our goals by identifying essential metrics and building executive-facing dashboards to track progressCollaborate with engineering to implement, document, validate, and monitor our loggingWe're Excited About You Because You Have…A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain2+ years of experience in data analytics, consulting, or related roleExperience 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 with statistical packages, such as Matlab, R, SAS or PythonProficiency 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 wayCompensationThe 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.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, New Jersey, New York and Washington.I4$113,100—$166,300 USDI5$137,700—$202,500 USDI6$163,100—$239,800 USDAbout DoorDashAt 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 with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
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About The TeamThe Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company. 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.Please apply here for all non-managerial levels within the following analytics teams:Consumer & GrowthBusiness OperationsDasher & LogisticsCustomer Experience & IntegrityMerchant, Ads & SalesNew VerticalsInternational Data ScienceAbout The RoleAs 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!You're Excited About This Opportunity Because You Will…Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our businessBuild full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical toolsWork with and mentor junior analysts on how to use more advanced methods and solve challengesProduce recommendations and use statistical techniques and hypothesis testing to validate your findingsProvide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trendsIdentify and measure levers to help move essential metrics and make recommendationsWork backwards from understanding and sizing problems to ideating solutionsReport against our goals by identifying essential metrics and building executive-facing dashboards to track progressCollaborate with engineering to implement, document, validate, and monitor our loggingWe're Excited About You Because You Have…A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain2+ years of experience in data analytics, consulting, or related roleExperience 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 with statistical packages, such as Matlab, R, SAS or PythonProficiency 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 wayCompensationThe 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.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, New Jersey, New York and Washington.I4$113,100—$166,300 USDI5$137,700—$202,500 USDI6$163,100—$239,800 USDAbout DoorDashAt 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 with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
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