JOB LEVEL
P40
EMPLOYEE ROLE
Individual Contributor
The Adobe Digital Imaging Data Science Team (Photoshop & Lightroom) is looking for a Data Scientist who is passionate about data and has the desire to provide an outstanding product experience for our customers. Using extensive product usage data sets, you will partner directly with product managers, product marketing managers, and software engineers to harness our data, derive significant insights, and help lay the foundation for robust and reliable data-centric decision-making. You will have the opportunity to focus on new and intriguing initiatives spanning, product analytics, data engineering, GTM analytics, growth, and more. Your primary focus will be to develop and maintain a robust data architecture to advance our reporting, analytics, and experimentation capabilities, and on a longer term you will use predictive modeling and machine learning methods to allow the broader organization to understand, lead, and optimize our customer experiences. Join our innovative team and make an impact in the most exciting areas of Adobe!
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.

Requirements:

• MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics.
• 3 - 5 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.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $127,300 -- $229,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile - don't forget to include your uniquely 'Adobe' experiences and volunteer work.
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Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
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.
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