Sr. Growth Data Scientist

Adobe changes the world through digital experiences, providing tools for emerging artists to global brands to design and deliver exceptional digital experiences.
$145,600 - $276,400
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Sr. Growth Data Scientist

Adobe's Digital Imaging Data Science Team is seeking an expert Sr. Growth Data Scientist to drive product-led growth (PLG) strategy for Photoshop, Lightroom, and Fresco products. This role combines deep data science expertise with strategic business impact, focusing on improving customer acquisition, engagement, and retention through data-driven insights.

The position offers an opportunity to work with extensive product usage datasets, partnering directly with cross-functional teams to optimize user experiences and drive business growth. You'll be responsible for analyzing user behavior, designing sophisticated experiments, and developing models that directly impact Adobe's flagship creative products.

As a Sr. Growth Data Scientist, you'll leverage advanced statistical methods and machine learning techniques to uncover actionable insights from complex data. Your work will directly influence product strategy through A/B testing, user segmentation, and predictive modeling. The role requires both technical excellence and business acumen, as you'll need to translate complex analyses into clear recommendations for stakeholders.

The ideal candidate brings 10+ years of data science experience, advanced degree credentials, and a proven track record of driving growth through data-driven decisions. You'll need to be proficient in Python/R and SQL, with experience in statistical analysis and experiment design. This role offers competitive compensation ($145,600 - $276,400 annually) and the opportunity to work with cutting-edge technology at a company that's transforming digital experiences globally.

Join Adobe's innovative team to make a significant impact on products used by millions of creative professionals worldwide. This role provides an exciting opportunity to combine technical expertise with business strategy, working at the intersection of data science and product growth.

Last updated 13 minutes ago

Responsibilities For Sr. Growth Data Scientist

  • Analyze product usage patterns to better understand how users are interacting with our products and surfaces
  • Partner closely with product and engineering teams to find opportunities to improve our free trial, user onboarding, and skill-building experiences
  • Identify and optimize PLG success metrics including free-to-paid conversion, activation, engagement, and retention rates
  • Design and analyze A/B tests and multivariate experiments to refine product features and improve user experiences
  • Use statistical methods to validate hypotheses and ensure reliable experimentation results
  • Develop models to support revenue attribution for test variant winners, propensity to convert, and customer churn
  • Build user segmentation models to identify high-value user cohorts
  • Collaborate with data engineers to deploy efficient data pipelines to inform accurate & timely decision making
  • Build and maintain dashboards to support self-service access to test results and insights
  • Act as a trusted advisor to PLG partners, translating complex data insights into actionable strategies

Requirements For Sr. Growth Data Scientist

Python
  • MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics
  • 10+ years of relevant data science experience
  • Deep understanding of PLG strategies and metrics
  • Strong understanding of statistical techniques, hypothesis testing, and machine learning
  • Proficiency in SQL and programming languages like Python or R for data analysis and modeling
  • Experience with data visualization tools like Tableau, Power BI, or Adobe Analytics
  • Strong analytical and problem-solving skills
  • Experience addressing executive-level partners
  • Experience in designing and analyzing growth experiments for enterprise software a plus
  • Familiarity with Adobe's Creative Cloud suite and ecosystems a plus

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