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 challenge :
The Product Analytics team at Adobe is looking for a Data Scientist to improve the adoption and utilization of our Experience Cloud products.
Our team engages with product management, customer success, marketing, and sales teams to identify problems that can be addressed with data science.
The opportunity is huge, ranging from crafting experiments, developing campaign measurement methodologies to building machine learning models for providing user recommendations and predicting churn for all products.
You will need to be creative, passionate about results, a self-starter, and have shown success in using analytics to drive the understanding, progression, and customer engagement of a product.
What you’ll do
In collaboration with a multi-functional team of product management, marketing, and engineering, you will tap into the underlying data, align on metrics / methodologies and generate insights to develop valuable, highly effective programs.
Demonstrate leadership through controlled experimentation design, causal inference, and advanced statistical analysis to measure the incremental impact of engagement programs which are key drivers of customer growth and retention.
Partner across Product, Marketing and Engineering teams to evolve our measurement approach. Build a joint vision with partner teams to ensure alignment of experiment strategy, roadmaps and deliver concrete results.
You will work with data engineers to design and automate data pipelines to scale experimentation and user analytics.
Communicate and establish relationships with partners across Experience Cloud businesses to promote the capabilities and tools of the team.
What you need to succeed
7+ years of work experience in data science, product analytics, or other related fields
Experience with advanced experimental design
Experience with Causal Inference methodologies like propensity score matching, diff-in-diff etc.
Ability to identify business opportunities and dissect them from different angles, and you know how to connect the dots and interact with people in various roles and functions.
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
Strong proficiency in querying, manipulating, and analyzing large data sets using SQL and / or SQL-like languages.
Experience with statistical programming software such as Python or R, in combination with visualization packages for Exploratory Data Analyses and to communicate results of analyses
Nice to have
Knowledge of machine learning and statistical methods like causal Inference.
Familiarity with Web Analytics / Clickstream data
Experience in B2B analytics or B2B customer lifecycle
Ability to work with multi-functional teams and juggle through parallel priorities
Experience working with large data stores, and building software.