What a Data Scientist does on Visa:
The Data Scientist will be working together with other members of the team to design and deliver projects with the appropriate analytic methodologies and techniques to address clients’ business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational for corroborating or refuting stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning.
As a Data Scientist you will be responsible for developing Data Analytics solutions to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. We have a highly collaborative process, and you are required to work across multiple teams and functions for developing cutting-edge, creative and advanced analytic solutions and processes.
Why this is important to Visa:
The Data Scientist is a key member of the Consulting and Analytics team. DS is a key driver to Visa business.
What you will need:
Responsibilities:
- Directing the execution of medium to large-scale analytic projects with both internal and external stakeholders.
- Collaborating with the different teams to fully understand business requirements and desired business outcomes.
- Defining detailed analytic scope and methodology and creating analytic plans.
- Executing on the analytic plan with appropriate data mining and analytic techniques.
- Performing QA on data and on both analysts’ deliverables and your own.
- Ensuring all project documentation is up to date and all projects are reviewed by analytic plan.
- Ensuring project delivery within timelines and budget requirements.
- Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field.
- Providing subject matter expertise and quality assurance of complex data driven analytic projects.
Projects you will be a part of:
- New Analyst tools and algorithm.
- Beside data analyst, the consulting skill is need to development.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.