Data Scientist

AdobeSan Jose, CA
13d$109,000 - $200,700

About The Position

Join our dedicated team at Adobe as a Data Scientist in San Jose to drive the critical Document Cloud business. This outstanding opportunity blends data science with strategic insight, allowing you to bring to bear advanced analytical and machine learning techniques to deliver actionable, data-driven recommendations. You will work closely with senior Go To Market leaders, showcasing your superb business intuition, quantitative analytical prowess, and fantastic communication skills. Your insights will empower the business across the full customer journey, from acquisition to retention. Be part of our world-class team and help us build the future!

Requirements

  • Bachelor’s degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience.
  • 2-3 years hands-on experience doing quantitative analysis ideally in tech or management consulting
  • Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
  • Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
  • Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
  • Statistical Modeling in Microsoft Excel or Power Pivot
  • Experience building and training statistical/data science models
  • Experience with statistics in SaaS or Subscription Business model environment
  • Experience in Data Visualization tools, preferably, Tableau and Power BI
  • A solid sense of self with an innate sense of curiosity
  • A fast learner with desire to learn new things

Nice To Haves

  • MBA or a master’s degree is preferred

Responsibilities

  • Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends.
  • Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling.
  • Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap.
  • Tackle critical business challenges with data science models to drive scalable and programmatic business solutions.
  • Recommend and implement testing ideas based on detailed analysis.
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