Manager, Data Scientist at Visa

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Techniques, Data Mining, Predictive Modeling, Big Data Aggregation, Excel, BI Tools, Problem-Solving, Stakeholder Management, Project Management, Generative AI, Geospatial Data Analysis, Analytical Techniques, Collaboration, Innovation

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Manage and deliver analytics projects from conception to completion with actionable insights and recommendations Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients Enhance existing analytic techniques by promoting new methodology and best practices in analytics Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies. Collaborate with cross-functional teams to build and automate re-usable and scalable solutions This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications 8+ years experience plus a Bachelor’s degree in an analytical field such as data science, computer science, computer engineering, mathematics, or similar others (graduate degree is a plus) Hands-on in developing machine learning solutions, delivering end-to-end data science projects, scaling up data solutions (Must have) Proficiency in statistical techniques such as Regression, Decision Trees, Random Forests, Neural Networks, etc. Proficiency in data mining and modeling techniques like Predictive Modeling, Classification, and Decision Trees. Proficient in big data aggregation using Hive, Spark, SQL, R/Python, and familiar with typical deep learning toolkits and packages (Must have) Competence in Excel and BI Tools such as PowerPoint or Tableau. Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects Experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders (Must have) Preferred Qualifications Experience in developing and applying Generative AI and Agentic AI solutions Experience in geospatial data analysis Banking /Payment /e-Commerce industry experiences are not desired but preferred 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.

Responsibilities

Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. Collaborate with cross-functional teams to build and automate re-usable and scalable solutions.