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Data Science Engineer presso Adobe

Adobe · Bangalore, India · Onsite

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Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!


 

The Opportunity
 

Adobe Express Data Scientist/Web Analyst is a part of the Web & Testing Analytics team, responsible for driving deeper customer analytics and insights for the Express business on Adobe.com. The team is responsible for deeper understanding of Adobe’s ability to deliver an efficient customer experience to attract, convert and retain customers. The team measures all aspects of the digital marketing strategy to ensure high conversion, retention and engagement rates on the site. The person will be an excellent data analyst and storyteller. The successful candidate will be responsible for web analytics, evaluating A/B Split and Multivariate Tests on Adobe.com website.  

What you'll Do

  • Assess, interpret & analyse data to deliver insight and understanding of customer behaviour on Adobe.com.
  • Review test hypotheses, help with detailed test plans, craft success metrics, perform quality assurance, analyze test results, and prepare Test Summaries using behavioral and customer voice analytics.
  • Use experimental design to optimize website and marketing activities as well as new in-product initiatives.
  • Apply outstanding analytics tools, such as the Adobe Marketing Cloud (e.g. Target, Analytics, Ad Hoc Analysis etc.) to analyse test results and provide interpretation, guidance and recommendations to aid marketing decision making
  • Partner with Marketing to identify key visitor segments, draft ‘user stories’ for the ideal customer experience for each segment
  • Work with other team members to integrate insights from different analyses/sources to deliver detailed analysis and recommendations to collaborators.
  • Work to help enhance customer experience across various touchpoints on Adobe.com
  • Guarantee solutions are able to scale, be repeated, work efficiently, and meet the requirements of partners.

What you’ll need:

  • Bachelor's degree required along with practical business experience in analyzing data.  MBA or Masters in a quantitative field like Economics, Statistics, Engineering, or IT a plus
  • 3-6 years of experience in analytics and/or marketing analytics. Experience in B2C and eCommerce is preferred.
  • Experience with web analytics tools such as Adobe Analytics and Amplitude (strongly preferred), Google Analytics, or CoreMetrics. Expert in analysis and insight generation. Proven ability to perform in-depth data analysis and present insights in a clear manner
  • Expert in A/B and Multivariate testing, design of experiments, the mathematics of statistical hypothesis testing coupled with the ability to draw meaningful business insights across multiple tests.
  • Good understanding of Microsoft Excel, SQL , Python(preferred) or RStudio, Visualization and experience with Big Data tools like Hadoop and Hive.
  • Excellent verbal and written communication skills.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call (408) 536-3015.

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