Proficiency in sql, hive, spark for large datasets
The role focuses on developing and maintaining a strong data architecture to enhance reporting, analytics, and experimentation
Job Summary
The role focuses on developing and maintaining a strong data architecture to enhance reporting, analytics, and experimentation.
Candidates will apply predictive modeling and machine learning to improve customer experiences and drive meaningful change.
Adobe empowers employees to innovate with AI and creates a culture where all employees are empowered to make an impact.
Matching Summary
The role focuses on developing and maintaining a strong data architecture to enhance reporting, analytics, and experimentation.
Salary
Base: $133,100 - $236,400 annually (US); California: $163,200 - $236,400; Washington: $157,900 - $228,575; Equity/AIP: Eligible for short-term incentives and new hire equity award
Skills & Requirements
Must-have
MS or Ph.D. in Data Science or related field
5-7+ years of data science experience
Proficiency in SQL, Hive, Spark for large datasets
Experience with A/B testing and statistical analysis
Strong skills in Python-based ETL frameworks
Nice-to-have
Experience with product instrumentation
Natural curiosity and critical thinking skills
Ability to communicate with executive audiences
Knowledge of Hadoop, Splunk, Tableau, Power BI
Key Requirements
MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics