Adobe
Our Company
We aim to change the world through digital experiences. We empower people to create beautiful images, videos, and apps, and to transform how companies interact with customers across every screen.
We are committed to equal opportunity and creating exceptional employee experiences. We believe the next big idea could be yours.
The Opportunity
Adobe offers an outstanding opportunity to join Adobe's Risk Platform team as a Staff Data Scientist. In this role, you will infuse data and insights into every product development phase to detect fraud trends, automate processes, and provide data-driven insights to protect Adobe's revenue and maintain customer trust. As a technical leader, you'll drive discussions at the intersection of data science and product management, working with partners across Adobe to build best-in-class fraud detection capabilities. Responsibilities 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. Be an expert in data analyses and improve tools and processes through technical expertise. Demonstrate strong data visualization skills with the ability to tell the story to key partners. Translate investigations and intelligence into root cause analysis to find opportunities for scale.
Qualifications
Advanced degree (Masters 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 and 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 with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark). Exposure to using AI agents and LLMs for projects. Excellent communication and leadership skills with the ability to collaborate across 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 is highly recommended.
Compensation and Notices
Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $145,600 -- $276,400 annually. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. For sales roles, starting salaries are expressed as total target compensation (TTC = base + commission); for non-sales roles, starting salaries are expressed as base salary with short-term incentives through the Annual Incentive Plan (AIP). Some roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices
California: Fair Chance Ordinances. Adobe will consider qualified applicants with arrest or conviction records in accordance with state and local laws. Colorado: Application Window Notice. If this role is open to hiring in Colorado, the application window remains open until the stated time in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed as a hiring location, the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice. It is unlawful to require or administer a lie detector test as a condition of employment or continued employment. Adobe is proud to be an 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. Adobe aims to make Adobe.com accessible to all users. If you require accommodations to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. #J-18808-Ljbffr
The Opportunity
Adobe offers an outstanding opportunity to join Adobe's Risk Platform team as a Staff Data Scientist. In this role, you will infuse data and insights into every product development phase to detect fraud trends, automate processes, and provide data-driven insights to protect Adobe's revenue and maintain customer trust. As a technical leader, you'll drive discussions at the intersection of data science and product management, working with partners across Adobe to build best-in-class fraud detection capabilities. Responsibilities 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. Be an expert in data analyses and improve tools and processes through technical expertise. Demonstrate strong data visualization skills with the ability to tell the story to key partners. Translate investigations and intelligence into root cause analysis to find opportunities for scale.
Qualifications
Advanced degree (Masters 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 and 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 with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark). Exposure to using AI agents and LLMs for projects. Excellent communication and leadership skills with the ability to collaborate across 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 is highly recommended.
Compensation and Notices
Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $145,600 -- $276,400 annually. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. For sales roles, starting salaries are expressed as total target compensation (TTC = base + commission); for non-sales roles, starting salaries are expressed as base salary with short-term incentives through the Annual Incentive Plan (AIP). Some roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices
California: Fair Chance Ordinances. Adobe will consider qualified applicants with arrest or conviction records in accordance with state and local laws. Colorado: Application Window Notice. If this role is open to hiring in Colorado, the application window remains open until the stated time in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed as a hiring location, the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice. It is unlawful to require or administer a lie detector test as a condition of employment or continued employment. Adobe is proud to be an 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. Adobe aims to make Adobe.com accessible to all users. If you require accommodations to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. #J-18808-Ljbffr