Adobe Genuine Service team is focused on developing strategies and products to prevent and recover users who abuse Adobe licenses. As a Data Scientist on this team, you’ll transform data into stories and decisions that move the business. You’ll steer a weekly business review, partner closely with digital sales, product and engineering, and bring rigor to how we measure and optimize our 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
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
- 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
- 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
- Excellent communication and relationship-building skills to guide, lead and mentor other team members
- Own the Outcome: You take accountability for the data, the narrative, and the follow‑through
