Data Scientist / Senior Data Scientist, Analytics

About the TeamRead on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.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.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 (e.g. hypothesis testing, experimentation, regressions) 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 location-specific base salary range for this position is listed below. Compensation in other geographies may vary. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.In addition to base salary, the compensation package for this role also includes opportunities for equity grants.#J-18808-Ljbffr

Created: 2025-01-01