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Senior Data Scientist, Product Analytics
Adobe
- United States
- United States
Über
The Adobe Digital Imaging Data Science Team is looking for a Senior Data Scientist passionate about data and delivering an outstanding product experience. We use extensive product usage data and work closely with product managers, marketing managers, and software engineers to derive insights and build a foundation for reliable data-driven decision-making. You will focus on initiatives like product analytics, dashboards, data engineering, GTM analytics, growth and more. Your main role is to develop and maintain a strong data architecture that enhances reporting, analytics, and experimentation. Over time, you will apply predictive modeling and machine learning to help the organization improve customer experiences. Join us and drive meaningful change in Adobe's most exciting areas! Responsibilities:
Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives. Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention. Proactively identify user trends and communicate relevant insights to assist product decision-making. Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks. Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur. Architect and implement models to recommend personalized in-app content. Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions. Requirements:
MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience. 5 - 7+ years of relevant data science experience. Experience translating business questions into data analytics approaches. Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.). Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance. Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses. Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences. Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI. Experience in product instrumentation is a plus. Possess natural curiosity and technical competence, being capable of asking critical questions and always ready to address any challenges. Experience addressing an executive level audience. Excellent communication, relationship skills, and a strong teammate.
Sprachkenntnisse
- English
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