Team Summary
Data Science team is a key part of decision management engine at Visa this is a high-performing team of data scientists data analysts statisticians and business analysts from a variety of countries serving major FIs and merchants in Asia Pacific. Analytics & Data Products is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented highly organized and must must be focused on delivering innovative analytics work.
What a Associate Data Scientist does at Visa:
The Associate Data Scientist will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve 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 to corroborate or refute 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 key driver to Visa business.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Responsibilities
-Participating analytic projects along with rest of the stakeholders in both internal and external
-Collaborating with the different teams to fully understand business requirements and desired business outcomes
-Executing on the analytic plan with appropriate data mining and analytic techniques
-Ensuring all project documentation is up to date and all projects are reviewed per 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
Qualifications :
Basic Qualifications
Technical
-Hands on experience with one or more data analytics/programming tools such as Python/SQL
-Proficiency in some of the following statistical techniques: Linear & Logistic Regression Decision Trees Random Forests K-Nearest Neighbors
-Demonstrated ability to innovate solutions to solve business problems
Business
-Results oriented with strong analytical and problem-solving skills with demonstrated intellectual and analytical rigor
-Team oriented collaborative diplomatic and flexible style with the ability to tailor data driven results to various audience levels
-Detailed oriented is expected to ensure highest level of quality/rigor in reports & data analysis
-Proficient in both English and Chinese (Mandarin)
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 :
Full-time
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more