Visa

1 week ago

Manager, Data Science & Analytics Consulting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead end-to-end analytics projects from scoping and methodology through delivery, producing actionable insights and recommendations for clients. Drive innovation using VisaNet and non-traditional data, enhancing analytics techniques and best practices. Build and standardize metrics and dashboards to track performance across markets and segments, while coaching partner teams as a data science advocate. Collaborate cross-functionally to automate reusable, scalable solutions in a hybrid work setting.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
•Define scope and methodology, design and create solutions, and execute using appropriate tools and techniques.
•Identify innovation opportunities using VisaNet, non-traditional data, and new modeling techniques suited to client needs.
•Develop metrics and dashboards to quantify current state and monitor progress across markets and segments with consistent definitions.
•Advocate for data science with partners by advising and coaching analytical teams and sharing best practices and case studies.

Key Requirements

•5+ years of experience plus a Bachelor’s degree in an analytical field (graduate degree a plus).
•Hands-on machine learning delivery: end-to-end data science projects and scaling solutions.
•Strong XGBoost experience with understanding of training, validation, and test splits and feature selection.
•Proficiency with data mining/modeling (predictive modeling, classification, decision trees) and statistical techniques (regression, decision trees, random forests, neural networks).
•Proficient big data aggregation using Hive, Spark, SQL, and R/Python; familiarity with deep learning toolkits and packages.

Experience:5+ yearsPaymentsE-commerceBanking

Education:Bachelor's

Skills:Problem-solvingStakeholder managementCollaborationContinuous learningProject management

Tech Stack:PythonPySparkJupyter notebooksXGBoostEDAVDRHiveSparkSQLRExcelPowerPointTableauVisaNetAWSGenerative AIAgentic AI

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Visa

1 week ago

Manager, Data Science & Analytics Consulting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
•Define scope and methodology, design and create solutions, and execute using appropriate tools and techniques.
•Identify innovation opportunities using VisaNet, non-traditional data, and new modeling techniques suited to client needs.
•Develop metrics and dashboards to quantify current state and monitor progress across markets and segments with consistent definitions.
•Advocate for data science with partners by advising and coaching analytical teams and sharing best practices and case studies.

Key Requirements

•5+ years of experience plus a Bachelor’s degree in an analytical field (graduate degree a plus).
•Hands-on machine learning delivery: end-to-end data science projects and scaling solutions.
•Strong XGBoost experience with understanding of training, validation, and test splits and feature selection.
•Proficiency with data mining/modeling (predictive modeling, classification, decision trees) and statistical techniques (regression, decision trees, random forests, neural networks).
•Proficient big data aggregation using Hive, Spark, SQL, and R/Python; familiarity with deep learning toolkits and packages.

Experience:5+ yearsPaymentsE-commerceBanking

Education:Bachelor's

Skills:Problem-solvingStakeholder managementCollaborationContinuous learningProject management

Tech Stack:PythonPySparkJupyter notebooksXGBoostEDAVDRHiveSparkSQLRExcelPowerPointTableauVisaNetAWSGenerative AIAgentic AI

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor