Adobe is looking to prevent and recover users who abuse Adobe licenses by developing strategies and products. The Data Scientist will transform data into stories and decisions to move the business forward, steer weekly business reviews, partner with sales, product, and engineering, and bring rigor to anti-piracy and compliance efforts by spotting trends, sizing opportunities, and enabling insights that drive outcomes.
Requirements
- 3+ years of hands-on experience doing data analysis, statistical modeling and quantitative analysis
- 2+ years of proficiency in Python, SQL, Spark
- Proficiency in leveraging Large Language Models (LLMs) and AI-driven tools to enhance data analysis, automate workflows, and generate insights
- Strong fundamentals in statistical analysis focusing on testing frameworks
- Ability to support multiple ongoing projects in a fast-paced environment
- Strong background in working across business teams, providing data-driven stories and have a problem-solving approach
Responsibilities
- Apply expertise in quantitative analysis, data science, data modeling to understand and provide deep insights on customer behavior, non-genuine patterns and improve user journey impacting customer engagement, conversion and retention
- Use insights and data to inform strategies across business teams
- Monitor weekly business, carry out detailed data investigations to grasp underlying reasons for shifts in metrics and offer recommendations on forecasts
- Partner with our Data Engineering and business teams to build a robust data strategy for self-service and quicker turnaround time
- Work with our campaign experience teams to build better A/B tests and provide statistical guidance
- Highlight and interpret disparate quantitative data and provide craft a clear data story within the business context to help drive next steps
- Create the Future: You anticipate scaling needs (e.g., new abuses, pre‑incident campaigns) and build durable measurement.
Other
- Master’s in computer science, Data Science, Information management, Business Analytics or similar degree preferred
- Own the Outcome: You take accountability for the data, the narrative, and the follow‑through
- Be Genuine: You communicate clearly, partner well across organizations, and center the customer in trade‑offs
- Excellent communication and relationship-building skills to guide, lead and mentor other team members
