Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Manager, Data Science role.
Rezi rewrites your resume against Visa's job description. Free.
Tailor your resume to this Senior Manager, Data Science role.
Rezi rewrites your resume against Visa's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Manager, Data Science posting at Visa — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Manager, Data Science posting at Visa — free, in seconds.
About the Role
Visa is seeking a Senior Manager Data Scientist to join the Post Purchase Platform team. This role is integral to developing innovative data science and AI solutions for the payment and post-purchase landscape, impacting global clients and shaping the digital future of payments.
Responsibilities
- Implements, monitors, and maintains production machine learning, NLP models, and Gen AI products.
- Develops strategies and tools for data extraction, model retuning, and data quality assurance using data wrangling, LLMs, and AI.
- Ensures adherence to Visa’s model review management processes, data management principles, governance, and tools.
- Advises on technical specifications for collaborations with model review management, software development, product teams, and clients.
- Identifies complex trends across data sources to plan future platform-wide solution updates.
- Owns and maintains dashboards using SQL to collect data from an internal data warehouse.
- Develops visualizations to make complex analyses accessible to a broad audience.
- Identifies opportunities to create new data products from analyses.
- Provides ad-hoc data analysis support and conducts data studies for internal teams.
Requirements
- 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
- 9 or more years of relevant work experience with a bachelor's degree or 7 or more relevant years of experience with an Advanced Degree or 3 or more years of experience with a PhD.
- Minimum of 6+ years of analytical experience in applying solutions to business problems.
- Four (4) years of experience designing, building/fine tuning ML/AI models around fraud detection.
- Four (4) years of experience solving data problems using data technologies (e.g., SQL, Hadoop, Hive, NoSQL).
- One (1) year of experience in using LLMs for feature extraction from textual data.
- One (1) year of experience in building dashboards with Tableau or Power BI.
- Experience building agentic workflows.
- U.S. Applicants Only.
Skills
- Machine learning
- NLP models
- Gen AI products
- Data wrangling
- LLMs
- Artificial intelligence
- Data management
- SQL
- Python
- Tableau
- Power BI
- Agentic workflows
- XGBoost
- Neural Network models
Location
- Office setting
Work Type
- Hybrid (at least 3 days in office)
Experience Level
- Senior Manager
Education Level
- Bachelor's Degree
- Advanced Degree (e.g. Masters, MBA, JD, MD)
- PhD
Salary/Compensations
- $162,500.00 - $260,400.00 USD per year
- May include potential sales incentive payments
- May be eligible for bonus and equity
Benefits
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness Program
About the Company
- Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories.
- Dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
- The Post Purchase Platform manages all network level disputes and chargebacks and is the foundation for creating innovative solutions that drive exceptional value for clients.
- The platform is modular, secure, robust, and resilient.
- Data scientists have access to a treasure trove of structured and un-structured data.
Equal Opportunity
- Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status.
- Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.