Data Science Engineer 3

Adobe Adobe · Enterprise · Noida, India

This role focuses on leveraging machine learning to analyze Adobe Creative Cloud data, uncover product and business opportunities, and inform product strategy and roadmaps. It involves designing and analyzing A/B experiments, partnering with product development teams, and working on product instrumentation and data capture.

What you'd actually do

  1. Prioritize and lead deep dives into Adobe Creative Cloud data to uncover new product and business opportunities, including using machine learning to uncover opportunities
  2. Partner with the product development teams and leadership to develop business strategy and product roadmaps based on analytical insights
  3. Design, implement, and analyze A/B experiments to provide reports and impactful insights
  4. Inspire the data science and product teams around experimentation and product insights
  5. Work directly with the development teams on product instrumentation, product flow and data capture

Skills

Required

  • SQL
  • Python or R
  • data visualization tools (e.g. Power BI, Tableau, Looker)
  • machine learning models
  • data analytics
  • data science
  • behavioral data science
  • multi-platform SaaS products
  • exploring large amounts of information
  • extracting insights
  • achieving real-world results
  • creative thinking
  • problem-solving skills
  • deriving and communicating insights from data analyses

Nice to have

  • 4+ years of hands-on technical experience in a data analytics or data science role
  • 2+ years in behavioral data science for multi-platform SaaS products
  • Degree in a quantitative field like statistics, economics, applied, math, operations research or engineering preferred, or related work experience

What the JD emphasized

  • machine learning
  • analytical insights
  • data analytics
  • data science
  • behavioral data science
  • multi-platform SaaS products
  • exploring large amounts of information
  • extracting insights
  • real-world results
  • dig-in
  • understand the data
  • creative thinking
  • problem-solving skills
  • deriving and communicating insights
  • data analyses
  • product and/or business leaders

Other signals

  • using machine learning to uncover opportunities
  • using machine learning models to gain insights and influence product strategy
  • behavioral data science for multi-platform SaaS products