Dropbox
Data Scientist, Marketing
Dropbox, Little Ferry, New Jersey, us, 07643
Company Description
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today.
Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots.
The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history.
Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey.
Team DescriptionOur Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in a team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role DescriptionWe're looking for a Senior Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
ResponsibilitiesEvaluate and improve our marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), and incrementality testingDevelop descriptive and predictive quantitative models to support optimization of our marketing campaignsLeverage internal and third-party tools to gain the data needed for marketing insightsDevelop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsIdentify key trends and build automated reporting & executive-facing dashboards to track the progress of marketing-driven acquisition, monetization, and engagement trends.Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data setsMonitor and analyze a high volume of experiments designed to optimize our marketing campaigns for revenue & promote best practices for multivariate experimentsTranslate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
RequirementsBachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingPast experience working with marketing analytics and utilizing causal inference for marketing measurementProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesSolid background in running multivariate experiments to optimize a product or revenue flowStrong verbal and written communication skillsProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Preferred QualificationsFamiliarity with Marketing Mix Models and Marketing campaign attributionExperience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way
CompensationUS Zone 1: $180,200—$243,800 USDUS Zone 2: $162,200—$219,400 USDUS Zone 3: $144,200—$195,000 USD
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
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You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today.
Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots.
The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history.
Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey.
Team DescriptionOur Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in a team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role DescriptionWe're looking for a Senior Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
ResponsibilitiesEvaluate and improve our marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), and incrementality testingDevelop descriptive and predictive quantitative models to support optimization of our marketing campaignsLeverage internal and third-party tools to gain the data needed for marketing insightsDevelop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsIdentify key trends and build automated reporting & executive-facing dashboards to track the progress of marketing-driven acquisition, monetization, and engagement trends.Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data setsMonitor and analyze a high volume of experiments designed to optimize our marketing campaigns for revenue & promote best practices for multivariate experimentsTranslate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
RequirementsBachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingPast experience working with marketing analytics and utilizing causal inference for marketing measurementProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesSolid background in running multivariate experiments to optimize a product or revenue flowStrong verbal and written communication skillsProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Preferred QualificationsFamiliarity with Marketing Mix Models and Marketing campaign attributionExperience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way
CompensationUS Zone 1: $180,200—$243,800 USDUS Zone 2: $162,200—$219,400 USDUS Zone 3: $144,200—$195,000 USD
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
#J-18808-Ljbffr