Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Adobe 3D & Interactive team is seeking an experienced data science professional to drive our culture of data-driven decision-making.
At Adobe 3D&I, we make and market a suite of software products that enable creative professionals to unleash their creativity in 3D and populate the metaverse.
As a Data Scientist, you will work with Product, Marketing and Engineering to build the data ecosystem and discover insights.
Adding business context to the data insights will allow you to craft compelling narratives that drive decision making. You will have a direct impact on the 3D&I business and product decisions!
Are you passionate about exploring data and create data driven stories? Are you self-motivated with strong interpersonal, communication and collaboration skills?
We invite you to apply today!
What You'll Do :
Work across the 3D&I organization and our partners to uncover insights and guide business decisions
Collaborate with 3D&I leadership to define and implement the right metrics to track our business and product performance
Regularly monitor and contextualize reports to build a consistent narrative and insights
What You'll Need to Succeed :
5+ years of professional experience in data science / analytics
BS or MS degree in an analytical field : statistics, applied mathematics, computer science, engineering, economics, etc.
Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, Presto, Databricks)
Experience designing and analyzing A / B / n experiments, using appropriate statistical techniques to mitigate bias and interpret statistical significance
Familiarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypotheses
Experience creating data visualizations and storytelling to effectively communicate analysis results to both technical and non-technical audiences (preferably Tableau or PowerBI)
Experience with data science workflows in Databricks, Jupyter, Python, Git
Excellent communication, relationship skills, and a strong standout colleague