Job Description

Team Summary

The Visa Consulting and Analytics team provides analytics and consulting services to address client business problems leveraging market and internal VCA Managed Services team focuses on developing and improving clients business by collaborating with them closely including their data addition to building and automating interpretable and actionable predictive models we assist clients in execution of models and evaluation of results.

The team interacts with stakeholders and team members across multiple functions and thus strong intuition for developing analytic models that can solve specific business concerns is essential. The role further entails innovating new analytics services as we scale out our activities.

What a Senior Data Scientist does at Visa:

• Executing multiple medium to large analytic projects along with rest of the stakeholders in analytics & consulting teams
• Establishing best practices for change management model automation and production rollout
• Familiarity with batch processing and process monitoring for model refresh
• Meeting with clients to explain model results answer questions and propose further analysis
• Collaborating closely with clients to analyze clients data extract insights and create dashboards
• Actively seek out opportunities to improve processes and technologies
• Collaborating with the internal teams to fully understand business requirements and desired business outcomes
• Defining detailed analytic scope and methodology and creating an analytic plan
• Executing with appropriate statistical and machine learning techniques
• Providing thought leadership in both using data to solve business problems and arriving at innovative technology and statistical solutions
• Ensuring project delivery within timelines and budget requirements
• Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required

Why this is important to Visa

VCAs services allow our clients to boost their business performance through leveraging Visas expansive market insights and addition Managed Services team collaborates with clients closely in leveraging clients data and improving their business with data science capabilities. Our role in Japan in particular is pivotal in advancing the transition towards a more cashless payments landscape.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

What you will need:

• 5 years of analytical experience in applying statistical solutions to business problems
• Graduate degree (Masters or Ph.D.) in computer science or a quantitative field such as physics statistics or mathematics or equivalent experience
• Proficiency in processing large data sets using Hive and related tools
• Fluency in multiple technologies and languages (Java/C/C/Python/R/SQL) with experience in at least one compiled language
• Experience with a wide cross section of machine learning techniques : clustering dimensionality reduction variable selection cross validation neural networks gradient boosting linear & logistic regression
• Unix/Linux proficiency : command line tools shell scripting
• Experience in collaborating with business functions at least internally or externally
• Native level in Japanese and business level in English ( or vice versa )

What will also help:

• Ability to quickly ideate novel mathematical models to address new problems
• Experience in cards/payments retail banking or retail merchant industries

Projects you will be a part of:

• Attrition and propensity modelling
• Recommendation systems and clustering algorithms
• Network analysis
• LTV and forecasting algorithm

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

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