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Data Scientist

Company Name: DropBox
Location: San Francisco, CA
Date Posted: 05th Dec, 2017
Description:

Role Description

  • Work on high priority initiatives including (but not limited to) account prioritization, account prospecting, and opportunity scoring
  • Instrumentation of propensity modeling: query and process big data: integrate volumes of data from multiple internal and external sources and into Dropbox’s systems of record 
  • Partner closely with data scientists to develop internal and external data sources to be used in propensity modeling and predictive analytics
  • Implement propensity models into Dropbox’s revenue systems of record, track their effectiveness, analyze & report on findings

Responsibilities

  • Establish scaleable revenue prospecting initiatives using Dropbox internal data 
  • Conceptualize, design and build data-fueled insights to help Dropbox improve analytics for prospects and customers. Examples include:
  • Benchmarking: Develop comparative indexes that measure how companies compare to industry peers in key performance and usage metrics
  • Recommendation engine: Use real-time analytics to recommend ways in which customers can maximize adoption and usage of Dropbox
  • Work closely with other team members and the business to further develop metrics, KPIs, and insight that provides performance improvement
Qualification:

Qualifications -

  • Bachelor’s degree or higher in computer science, applied statistics, economics, etc.
  • 5 - 8 years experience as strategic project/program lead in management consulting, B2B software (ideally SaaS) or a high-growth technology firm
  • Experience working with very large semi-structured data sets and integrating them into systems of record
  • Good SFDC skills and ability to develop analysis based on CRM data in a scalable manner
  • Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
  • Highly detailed-oriented and exceptional organizational and follow-through skills a must
  • Strong data-oriented scripting (e.g. SQL) and statistical programming (e.g., R or python)
  • Excellent judgment and creative problem solving skills
  • Excellent at planning and project management – ability to look ahead to meet regular deadlines and prevent last minute fire drills
  • Strong desire to take initiative; thrive on change and comfortable with ambiguity

Benefits and Perks

  • 100% company paid individual medical, dental, & vision insurance coverage
  • 401k + company match
  • Market competitive total compensation package
  • Free Dropbox space for your friends and family
  • Wellness Reimbursement
  • Generous vacation policy
  • 10 company paid holidays
  • Volunteer time off 
  • Company sponsored tech talks (technology and other relevant professional topics)