Senior Data Scientist (10 months contractor)

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 Senior Data Scientist does at Visa:

The Senior 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 Senior 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 Senior Data Scientist is a key member of the Consulting and Analytics team.  DS is key driver to Visa business.

Qualifications :

What you will need:

Responsibilities

• Work with internal teams to lead end-to-end client engagement overseeing every stage from initial pitch and proposal development through project execution to final delivery and post-project follow-up while ensuring seamless collaboration and consistently exceptional client satisfaction
• Collaborating with the different teams to fully understand business requirements and desired business outcomes
• Defining detailed analytic scope and methodology and creating analytic plan
• Develop tailored solutions and presentations that address client needs effectively communicating value propositions and project scope
• Directing the execution of medium to large analytic projects along with rest of the stakeholders in both internal and external
• Executing on the analytic plan with appropriate data mining and analytic techniques
• Performing QA on data and deliverables by analysts and own deliverables
• Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
• Ensuring project delivery within timelines and budget requirements
• Building on teams analytical skills and business knowledge
• 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
• Understanding of data privacy data governance and responsible AI best practices

Technical

• Hands on experience with one or more data analytics/programming tools such as SQL/SAS/ /Python/
• Proficiency in some of the following statistical techniques: Linear & 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 innovate solutions to solve business problems

Business

• Solution design skill 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 various audience levels
• Detailed oriented is expected to ensure highest level of quality/rigor in reports & 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 8 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
• Prior experience working in a FI or payment business/analytics department is highly desirable
• Understanding of Cards/Payments and Banking business model would be a plus
• Proficient in English/Cantonese/ Mandarin language
• Working location: Hong Kong

Projects you will be a part of:

• New Analyst tools and algorithms.
• Besides data analysis skills consulting skills also need to be developed.
• Proficiency In BI tools such as Tableau and Power BI would be a plus

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time