Data Scientist

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.

Technical Qualifications:
Hands on experience with one or more data analytics/programming tools such as SAS/Python.
Proficiency in some of the following statistical techniques: Linear Regression, Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling etc., Evolutionary Algorithms (e.g., Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks etc.
Working knowledge in advanced data mining and modeling: Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID).
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders.
Demonstrated ability to develop innovative solutions to solve business problems.

Business Qualifications:
Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor.
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred.
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data‑driven results to audiences at various levels.
Detailed oriented, is expected to ensure highest level of quality in reports and data analysis.
Proven skills in translating analytics output to actionable recommendations, and delivery.
Experience in presenting ideas and analysis to stakeholders.
Exhibit intellectual curiosity and strive to continually learn.

What will also help:
Minimum of 3 years of analytical experience in applying statistical solutions to business problems.
Post Graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferred.
Understanding of Cards/Payments and Banking business model would be a plus.
Proficient in Chinese (Mandarin) language.

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.