Job Description

EMPLOYEE ROLE
Individual Contributor

What you'll Do
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and communicating results in a clear manner
• Crafting automated anomaly detection systems and constant tracking of its performance
• Provide insights on business performance and user behavior regularly
• Build new predictive models across the various stages of customer lifecycle ranging from LTV, Churn, cross-sell, up-sell, personalization etc.

What you need to succeed
• 7+ years of hands-on experience doing quantitative analysis preferably in the field of e-commerce, strategy, or management consulting. MS in Analytics or similar degree preferred
• Experience in defining a business problem, collecting required data, analyzing the results, and synthesizing a compelling argument
• Strong analytical skills to articulate key business and financial implications/business impact
• Strong proficiency in querying and manipulating large data sets using SQL like languages (Hive/ADX preferred), Python, R, etc.
• Experience with Web Analytics Tools like Adobe Analytics
• Experience with data visualization tools, such as Power BI, etc.
• Expertise in building, productizing and maintaining predictive models
• Expertise in Python, R or any other scripting language

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.