Data Scientist, Lightroom

ADOBE

Base: $109,000 -- $200,700 annually (us); base: $1...
Not specified (assumed hybrid)
Sql-like languages (hive, spark)
Data visualizations and storytelling
Product usage data analysis
Adobe is seeking a Data Scientist for their Digital Imaging Data Science Team who is enthusiastic about leveraging data to enhance product experiences. The role involves collaborating with various teams to analyze product usage, automate data pipelines, and develop predictive models

Job Summary

  • The Adobe Digital Imaging Data Science Team uses extensive product usage data to derive insights and build a foundation for reliable data-driven decision-making.
  • Responsibilities include analyzing product usage patterns, automating data pipelines, building dashboards, and driving A/B tests to validate hypotheses.
  • Join Adobe to drive meaningful change in exciting areas, empowering everyone to create through innovative platforms and tools.

Matching Summary

Match Score: 85

Adobe is seeking a Data Scientist for their Digital Imaging Data Science Team who is enthusiastic about leveraging data to enhance product experiences. The role involves collaborating with various teams to analyze product usage, automate data pipelines, and develop predictive models.

Salary

Base: $109,000 -- $200,700 annually (US); Base: $138,600 - $200,700 (California); Base: $136,600 - $197,800 (Washington); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • SQL-like languages (Hive, Spark)
  • Data visualizations and storytelling
  • Product usage data analysis
  • Data architecture development
  • Python-based ETL Frameworks
  • Statistical techniques for experimentation

Nice-to-have

  • Natural curiosity and technical competence
  • Addressing executive level audience
  • Product instrumentation experience
  • Strong teammate and relationship skills

Key Requirements

  • MS or Ph.D. or equivalent experience
  • 3 - 5+ years of relevant data science experience
  • Experience translating business questions into data analytics
  • Experience operationalizing experimentation approaches

Work Rights

Not specified

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