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Data Scientist
- New York, New York, United States
- New York, New York, United States
À propos
Company Description Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
Team Description The Dropbox Product Management Team envisions and builds the future of work while growing our business, one product at a time. We\'re strategic thinkers and advocates for our users, crafting solutions that make work more intuitive and joyful. Using data, research, and strategy—and a healthy dose of empathy—we guide cross-functional teams toward the shared goal of creating transformative products that people love to use. If you're passionate about building solutions that reshape how the world works while delighting users in the process, join our Product Management team. Areas of work include Product Management, Product Strategy, User Research, Data Analytics, Product Operations, Growth Strategy, and Go-to-Market Planning.
Role Description We\'re looking for a Data Scientist to partner with product, engineering, and design 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.
Responsibilities
Develop a deep understanding of customer journey phases and key business metrics
Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Understand what matters most and prioritize ruthlessly
Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
Significant experience with SQL and large unstructured datasets such as Hadoop
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Solid background in running multivariate experiments to optimize a product or revenue flow
Strong verbal and written communication skills
Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Preferred Qualifications
Product analytics experience in a SAAS company
Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
Compensation US Zone 1 This role is not available in Zone 1
US Zone 2 $149,200—$201,800 USD
US Zone 3 $132,600—$179,400 USD
The range(s) listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change. Please note, OTE are for sales roles only. Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. We target most new hire offers between the minimum up to the middle of the range. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:
US Zone 1: San Francisco metro, New York City metro, or Seattle metro
US Zone 2: California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (outside NYC metro), New York (outside NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (outside NYC or DC metro), Texas (Austin metro) Virginia (DC metro), Washington (outside Seattle metro), Washington DC metro, West Virginia (DC metro), Wisconsin (Chicago metro)
US Zone 3: All other US locations
Benefits Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:
Competitive medical, dental, and vision coverage
401(k) plan with a generous company match and immediate vesting
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
Access to over 10,000 global co-working spaces through Gable.tomaking it easy to book flexible workspaces for collaboration or individual work
Quarterly Cell phone and internet allowance
Mental health and wellness benefits
Disability and neurodivergence support benefits
Additional benefit details are available upon request. Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy. 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, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.
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Compétences linguistiques
- English
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