Data Scientist

Evaluate and improve our marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), and incrementality testing
Develop descriptive and predictive quantitative models to support optimization of our marketing campaigns
Leverage internal and third-party tools to gain the data needed for marketing insights
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
Identify 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 sets 
Monitor and analyze a high volume of experiments designed to optimize our marketing campaigns for 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 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
5+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
Past experience working with marketing analytics and utilizing causal inference for marketing measurement
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
Familiarity with Marketing Mix Models and Marketing campaign attribution
Experience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way

Total Rewards
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). 

Current Salary/OTE Ranges (Subject to change):
C$152,200 – C$179,000 – C$205,800