Adobe is looking Data Scientist/Senior Product Analyst, Experimentation in San Jose, Calfornia

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.