Staff Data Scientist
Adobe invites you to apply for the Staff Data Scientist role on Adobe’s Risk Platform team. As a technical leader, you will infuse data and insights into every product development phase to detect fraud trends, automate processes, and protect Adobe’s revenue and maintain customer trust.
What You’ll Do
- Detect emerging fraud and abuse across various platforms and products.
- Automate manual workflows to build efficiencies and scale up fraud prevention, investigations, and operational workflows.
- Apply expert data analysis and improve tools and processes through technical expertise.
- Use sound data visualization skills to tell the story to key partners.
- Translate investigations and intel into root‑cause analysis to find opportunities for scale.
What You Need To Succeed
Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Mathematics, or related quantitative field, or equivalent work experience with a Bachelor’s degree.8+ years of proven experience in data science, machine learning, with a focus on fraud detection or risk management in subscription‑based businesses or financial services.Expertise in machine learning techniques, including supervised and unsupervised learning, anomaly detection, and ensemble methods.Proficiency in programming languages such as SQL, Python, or R.Proficiency in technologies related to large‑scale datasets and distributed computing frameworks (e.g., Hadoop, Spark).Exposure to using AI agents and LLM (Large Language Model) for any of the projects.Excellent communication and leadership skills, with the ability to collaborate effectively with cross‑functional teams and drive alignment on fraud detection strategies.Proven track record of leading complex data science projects from conception to production deployment, delivering tangible business value.Experience with fraud detection tools and platforms (e.g., fraud detection APIs, fraud management systems) is highly recommended.Compensation
The U.S. pay range for this position is $145,600–$276,400 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.
Equal Opportunity
Adobe is a proud Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Accessibility
If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536‑3015.
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