Sr Data Scientist
Sr Data Scientist
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1 Vacancy
Job Description
Team Summary
To ensure that Visas payment technology is truly available to everyone everywhere requires the success of our business partners such as financial institutions merchants fintechs government agencies and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set and leveraging data experts knowledge.
What a Sr. Data Scientist does at Visa
- Contribute to the Korea and Mongolia Data Science team as a Data Scientist.
- Lead and execute Data Science and A.I. projects to address business challenges in areas such as digital marketing and risk in collaboration with internal and external partners.
- Develop and implement data solutions including predictive and prescriptive models to enhance customer experiences drive revenue generate insights and manage risks.
- Proactively explore opportunities for innovation by leveraging VisaNet external data sources and advanced modeling techniques tailored to client needs.
- Define project scope and methodology design and develop solutions and implement them using suitable tools and techniques.
- Identify opportunities for data solutions or product development for various clients collaborating with external parties as required.
- Work closely with stakeholders to utilize VisaNet data and data science methodologies to support Visas core business growth.
Why this is important to Visa
As payments consulting arm of Visa Data Science team is growing a team of highly specialized experts who can provide bestinclass payment expertise and datadriven strategies to clients. We are building a highperforming team of data scientists data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology finance and commerce with cuttingedge creative and advanced analytic solutions. The purpose of the team is to help both internal and external business partners grow their business and solve problems by providing advisory services through the use of data.
Projects you will be a part of:
- Data / Data Science Advisory
- VisaNet Data Analytic (Benchmarking / Market Landscape Analysis)
- M/L or Deep Learning Model Development
- Data Commercialization Engagement
- Data Partnership and Convergence (3rd party data blending)
- Data and A.I. Governance
- Data / A.I. Platform Development / Enhancement
- Thought Leadership in Data Science (ex. A.I. Fairness Sustainability Application)
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
6 years of relevant work experience with a Bachelors Degree or 4 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD
Bachelors or Masters degree in Statistics Mathematics Computer Science Data Science Business Analytics Industrial Engineering or a related technical field
Deepen understanding the fundamentals of advanced M/L or D/L algorithms and Generative A.I.
Handson experience with one or more data analytics programming tools (e.g. Python R Spark) big data tools (e.g. Hive Hadoop) and query languages (e.g. SQL)
Generating and visualizing databased insights in software such as Tableau
Communicating datadriven insights and conveying actionable recommendations
Building predictive and descriptive models using machine learning tool kit Jupyter notebooks Python PyTorch TensorFlow Spark and Langchain etc.
Managing and organizing work in Office software such as Word Excel PowerPoint and/or Teams
Previous exposure to financial services credit cards or merchant analytics is a plus but not required
Managing analytics/data science projects from scoping to delivery and engaging with internal/external stakeholders.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
