Data Science Leader

3 days ago

San Jose, California, United States Adobe Full time
About Adobe

At Adobe, we're driven by our passion for empowering creativity and connecting people through digital experiences. Our commitment to innovation has led us to become a leader in the industry, with a diverse portfolio of products that cater to various needs.

We believe in fostering an inclusive work environment where everyone has equal opportunities to grow and contribute. This mindset enables us to tap into the collective expertise of our team members and stay ahead of the curve in an ever-evolving landscape.

The Opportunity

As a Staff Data Scientist on our Product and Customer Analytics team, you'll play a pivotal role in leveraging data science to drive business growth and optimize customer experiences across our Experience Cloud products. You'll collaborate closely with cross-functional teams to analyze clickstream data, develop insights, and inform strategic decisions that propel our company forward.

Your primary focus will be on crafting experiments, building machine learning models, and developing new product features to enhance user engagement and retention. We're seeking a creative and self-motivated individual who can thrive in a fast-paced environment, prioritize multiple projects simultaneously, and effectively communicate complex ideas to both technical and non-technical stakeholders.

Key Responsibilities
  • Analyze large datasets to measure changes in user engagement, identifying key drivers of customer growth and retention.
  • Work closely with causal inference and machine learning leaders to measure the impacts of new product features and user engagement programs or drive in-product personalization.
  • Collaborate with data engineers to automate data pipelines and scale experimentation and user analytics.
  • BUILD RELATIONSHIPS ACROSS THE EXPERIENCE CLOUD BUSINESS UNIT TO PROMOTE OUR TEAM'S CAPABILITIES AND TOOLS AND DRIVE IMPACT.
Requirements
  • Experience with building and deploying Machine Learning models on platforms like Databricks.
  • Strong understanding of Statistics & Hypothesis Testing.
  • 10+ years of work experience in data science or another related field.
  • Strong Proficiency with statistical programming software like Python (pandas, scikit-learn) and/or R (dplyr, ggplot2).
  • Experience in querying, manipulating, and analyzing large data sets using SQL and/or SQL-like languages.
  • Experience working with Data Engineers to set up ETL/ Data Pipelines and Automate projects.
  • Ability to slice & dice data, translate analysis results into insights, and present business recommendations to partners.
  • Ability to identify business opportunities and dissect them from different angles, and connect the dots and interact with people in various roles and functions.
  • Communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
  • Ability to work with multi-functional teams and juggle through parallel priorities.
  • Ability to work in an ambiguous environment with strong problem-solving skills.
Compensation
Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $140,200 -- $267,600 annually.

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