[Hiring] Knowledge Scientist @Dropbox

Function Description

Dropbox is constructing a world class Finance group pushed by knowledge and analytics. The Income and Development Finance crew delivers quantitative forecasts and analytic insights that drive the technique and development of all the firm. We’re on the lookout for a Knowledge Scientist to associate with finance 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. A perfect candidate ought to have strong information of client lifecycle and conduct 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 investigate issues and alternatives, determine the speculation and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory evaluation to know person engagement conduct and derive insights
• Create personalised segmentation methods leveraging propensity fashions to allow focusing on of provides and experiences based mostly on person attributes 
• Determine key developments and construct automated reporting & executive-facing dashboards to trace the progress of acquisition, monetization, and engagement developments. 
• Extract actionable insights by way of analyzing massive, complicated, multi-dimensional buyer conduct knowledge units 
• Translate complicated ideas into implications for the enterprise by way of glorious communication abilities, each verbal and written
• Guarantee knowledge integrity and compliance with regulatory and inside insurance policies.
• Work with cross-functional groups (together with Finance, Knowledge Science, Engineering, Product, Engineering, 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 area
• 5+ years expertise utilizing analytics to drive key enterprise selections; examples embrace enterprise/product/advertising and marketing analytics, enterprise intelligence, technique consulting
• Confirmed monitor file of having the ability to work independently and proactively interact with enterprise stakeholders with minimal route
• Vital expertise with SQL and huge unstructured datasets
• Deep understanding of statistical evaluation, modeling, and customary analytical methods like regression
• Robust analytical pondering, problem-solving abilities, and a focus to element
• Wonderful communication abilities with the power to articulate complicated knowledge ideas clearly to numerous stakeholders
• Proficiency in Python, R, SQL, and familiarity with knowledge visualization instruments comparable to Tableau or Energy BI

Most popular {Qualifications}

• Superior diploma (Masters or PhD) in a quantitative self-discipline comparable to Statistics, Knowledge Science, Economics, or a associated area.

Compensation