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!
Apply your expertise in data science to drive the next stage of growth at Adobe. The Creative Cloud customer insight team uses the power of data to deeply understand customers, advise strategy, measure progress toward goals and uncover new opportunities.
This role will drive demand conversion optimization for Adobe’s large and growing Creative Cloud consumer subscription business.
The ideal candidate will have deep technical skills, a passion for delivering compelling customer experiences, relentless curiosity, and a desire to grow technical skills.
What you will do
Use big data to understand customers, find opportunities to further elevate Adobe’s product experience, and build compelling data stories that drive action
Partner with internal teams on data-informed hypotheses that will drive experiment design and readouts focused on causal relationships between product engagement and long-term customer value
Own and drive critical metrics focused on engagement and retention. Integration of predictive LTV, CAC, churn and engagement scores into a cohesive management system.
Work with other data scientists to use models and data products to help drive engagement and adoption of Adobe solutions
Partner with various engagement, product and marketing teams on measurement strategy and data requirements. Deliver insights on product and customer with a focus on opportunities for enhanced customer experiences.
Improve our existing growth model to help the team forecast the business impact of multi-channel experiments
What you will need
A Master’s degree in computer science, statistics, physics or a related field is helpful. Technical undergrad and equivalent experience in the field is required
3-5+ years of direct experience in marketing analytics in a data science role
Deep understanding of statistics and machine learning techniques and their real-world applications
Strong proficiency in querying, manipulating, and analyzing large data sets using SQL and Python
Strong business insight, superb communication, and relationship skills
Experience with Apache Hadoop and related technology stack
Experience with one or more data visualization tools such as Tableau or Power BI
Good attention to detail and ability to stitch and QA multiple data sources