Staff Data Science Engineer
Adobe Software
This job is no longer accepting applications
See open jobs at Adobe Software.See open jobs similar to "Staff Data Science Engineer" AnitaB.org.JOB LEVEL
P50EMPLOYEE ROLE
Individual ContributorThe 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 different partners across Adobe to build best in class fraud detection capabilities.
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.
- Expert in data analyses and improve tools and processes through technical expertise.
- Sound data visualization skills with ability 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 (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, 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.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain 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 for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. 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.
This job is no longer accepting applications
See open jobs at Adobe Software.See open jobs similar to "Staff Data Science Engineer" AnitaB.org.