160 applicants

Company

Original Job Post

Adobe · 3 days ago

Data Scientist

Seattle, WA

Full-time

Onsite

Mid Level

$108K/yr - $192K/yr

2+ years exp

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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 design of feature-level experiments to validate hypotheses and influence product development decisions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data scienceSQLStatistical analysisData visualizationTool proficiencyExecutive communicationProblem-solvingCuriosityCommunicationRelationship buildingTeamworkProduct Instrumentation

Required

MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics.

2-4 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.

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.

Preferred

Experience in product instrumentation is a plus.

Company

Adobe

Glassdoor

4.3

Adobe is a software company that provides its users with digital marketing and media solutions.

Founded in 1982

San Jose, California, USA

10,001+ employees

http://www.adobe.com

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (522)