Data Scientist, Lightroom

Adobe

Base: $109,000 -- $200,700 annually; bonus/equity:...
Not specified (assumed hybrid based on industry standards)
Product usage data analysis
Data architecture development
Sql-like querying
Adobe is seeking a Data Scientist for its Digital Imaging Data Science Team to enhance product experiences through data-driven insights and analytics. The role involves analyzing product usage, automating data pipelines, and applying predictive modeling to improve customer engagement

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, focusing on initiatives like product analytics, dashboards, data engineering, GTM analytics, and growth.
  • Responsibilities include partnering with product and engineering teams, analyzing product usage patterns, identifying user trends, automating data pipelines, building dashboards, architecting recommendation models, and driving experimentation.
  • Adobe empowers everyone to create through innovative platforms and tools, driven by AI and human ingenuity, with a mission to hire the very best and foster a culture where all employees are empowered to make an impact.

Matching Summary

Match Score: 85

Adobe is seeking a Data Scientist for its Digital Imaging Data Science Team to enhance product experiences through data-driven insights and analytics. The role involves analyzing product usage, automating data pipelines, and applying predictive modeling to improve customer engagement.

Salary

Base: $109,000 -- $200,700 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Product usage data analysis
  • Data architecture development
  • SQL-like querying
  • Python-based ETL frameworks
  • A/B and multivariate testing
  • Descriptive and inferential statistics
  • Data visualization and storytelling

Nice-to-have

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

Key Requirements

  • MS or Ph.D. or equivalent experience
  • 3-5+ years relevant data science experience
  • Translating business questions to data analytics
  • Experimentation approaches and statistical techniques
  • Knowledge of Hadoop, Hive, Spark, Tableau, Power BI

Work Rights

Not specified

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