Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global creative technology organization is transforming professional design through intelligent, connected tools that bring together creativity, collaboration, and artificial intelligence. Its Pro Design team is responsible for products such as Illustrator and InDesign, while also developing emerging experiences designed to help creators and teams work faster without compromising quality and craft.
The organization is seeking a Senior Business Data Scientist who is creative, analytical, and comfortable challenging conventional thinking. The role will focus on using data and experimentation to influence product decisions, improve user experiences, and drive key business metrics at scale.
What You’ll Do
- Map the user funnel and develop metrics, cohorts, and dashboards that enable Product and Growth teams to understand how users move across free, trial, and paid tiers and identify points of user drop-off.
- Investigate key business questions, including what drives activation and which behaviors predict retention and expansion.
- Develop propensity models for conversion, upgrades, churn, and expansion that can support real-time targeting and in-product engagement.
- Identify, evaluate, and size growth opportunities in collaboration with Product teams.
- Establish north-star, driver, and guardrail metrics with cross-functional partners.
- Design and analyze multivariate experiments across onboarding, paywalls, in-product prompts, pricing, and other product experiences.
- Translate complex data findings into actionable recommendations that support product and business strategy.
Minimum Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field, or equivalent practical experience.
- 5+ years of experience in data science, product analytics, or a related quantitative role.
- Proficiency in SQL and Python or R for data manipulation, analysis, and modeling.
- Hands-on experience designing and analyzing A/B tests and interpreting statistical significance.
- Experience developing segmentation and predictive models, including propensity, churn, and lifetime value models, and applying them to product or marketing initiatives.
- Experience developing funnels, cohorts, and retention analyses.
- Ability to translate ambiguous business questions into structured analytical approaches and clear recommendations.
- Fluency with AI-assisted and agentic workflows.
Preferred Requirements
- Master’s degree or PhD in a quantitatively focused field, or equivalent experience.
- Experience in consumer product analytics, particularly within creative tools, SaaS, or subscription-based businesses.
- Experience modeling customer satisfaction and/or Net Promoter Score (NPS).
- Familiarity with modern data platforms and technologies, preferably Databricks and Spark.
- Experience with product analytics platforms such as Adobe Analytics, Amplitude, or FullStory.
- Familiarity with experimentation platforms and modern product development practices.
Disclaimer
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