Data Scientist

Position Description

We’re searching for a Information Scientist to accomplice with income, advertising and marketing, and product groups to reply key questions on the way to develop income, optimize product, scale and monetize the enterprise, and launch high-impact initiatives. We remedy difficult issues and enhance enterprise progress by means of a deep understanding of person behaviors with utilized analytics strategies and enterprise insights. An excellent candidate ought to have strong information of shopper lifecycle and habits evaluation, buyer segmentation, digital campaigns, monetization analytics and enterprise operations for a SaaS firm.  

Duties

• Develop a deep understanding of buyer journey phases and key enterprise metrics
• Carry out analytical deep-dives to research issues and alternatives, determine the speculation and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory evaluation to know person engagement habits and derive insights
• Create customized segmentation methods leveraging propensity fashions to allow concentrating on of presents and experiences based mostly on person attributes 
• Determine key tendencies and construct automated reporting & executive-facing dashboards to trace the progress of acquisition, monetization, and engagement tendencies. 
• Extract actionable insights by means of analyzing massive, advanced, multi-dimensional buyer habits information units 
• Monitor and analyze a excessive quantity of experiments designed to optimize the product for person expertise and income & promote greatest practices for multivariate experiments
• Translate advanced ideas into implications for the enterprise by way of glorious communication abilities, each verbal and written
• Perceive what issues most and prioritize ruthlessly
• Work with cross-functional groups (together with Information Science, Advertising, Product, Engineering, Design, Consumer Analysis, and senior executives) to quickly execute and iterate

Necessities

• Bachelors’ or above in quantitative self-discipline: Statistics, Utilized Arithmetic, Economics, Laptop Science, Engineering, or associated discipline
• 3-5 years expertise utilizing analytics to drive key enterprise selections; examples embrace enterprise/product/advertising and marketing analytics, enterprise intelligence, technique consulting
• Confirmed observe document of having the ability to work independently and proactively have interaction with enterprise stakeholders with minimal course
• Vital expertise with SQL and enormous unstructured datasets comparable to Hadoop
• Deep understanding of statistical evaluation, experimentation design, and customary analytical strategies like regression, choice bushes
• Stable background in operating multivariate experiments to optimize a product or income stream
• Sturdy verbal and written communication abilities
• Proficiency in programming/scripting and information of statistical packages like Python is a plus

Whole Rewards

Wage/OTE is only one part of Dropbox’s complete rewards package deal. All common staff are additionally eligible for the company bonus program or a gross sales incentive (goal included in OTE) in addition to inventory within the type of Restricted Inventory Items (RSUs). 

Present Wage/OTE Ranges (Topic to alter):
C$123,300 – C$145,000 – C$166,800