Visa

2 months ago

Lead Data Scientist

✓ 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 data science efforts for the Visa Acceptance Platform, helping design, build, and test AI-driven product capabilities at scale. Define and execute data strategies to improve extraction efficiency and data quality using advanced modeling, data wrangling, and ETL pipelines. Ensure governance and data management across products, guide technical requirements with partners, and translate complex trends into platform roadmaps for secure, resilient payment experiences.

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Provide technical expertise and mentor others on extensible, maintainable, reusable code, including defining framework, coding patterns, and security requirements.
•Develop and lead strategies to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling and complex modeling.
•Ensure adherence to data management principles, governance, process, and tools to maintain data quality across products.
•Advise on technical specifications with collaborators to clarify requirements and identify upstream/downstream dependencies.
•Identify trends across data sources and use insights to plan platform-wide updates and roadmaps for software upgrades and security remediation.

Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 288,000 annually

Perks:Health InsuranceDentalVision401kFsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•10+ years of work experience with a Bachelor’s Degree, or at least 8 years with an Advanced Degree, or at least 3 years with a PhD.
•3+ years building AI/ML powered predictive analytics/insights models.
•4+ years solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
•2+ years designing, implementing, and maintaining ETL pipelines.
•3+ years building and evaluating data analysis/metrics.

Experience:PaymentsFintechBig data

Skills:MentorshipCollaborationTechnical leadershipProblem-solvingTechnical communication

Tech Stack:AIMLPredictive analyticsData wranglingData modelingData governanceETLHadoopHiveKafkaRedisNoSQLRDBMSBig DataSparkFlinkMapReduce

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

2 months ago

Lead Data Scientist

✓ 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: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Provide technical expertise and mentor others on extensible, maintainable, reusable code, including defining framework, coding patterns, and security requirements.
•Develop and lead strategies to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling and complex modeling.
•Ensure adherence to data management principles, governance, process, and tools to maintain data quality across products.
•Advise on technical specifications with collaborators to clarify requirements and identify upstream/downstream dependencies.
•Identify trends across data sources and use insights to plan platform-wide updates and roadmaps for software upgrades and security remediation.

Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 288,000 annually

Perks:Health InsuranceDentalVision401kFsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•10+ years of work experience with a Bachelor’s Degree, or at least 8 years with an Advanced Degree, or at least 3 years with a PhD.
•3+ years building AI/ML powered predictive analytics/insights models.
•4+ years solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
•2+ years designing, implementing, and maintaining ETL pipelines.
•3+ years building and evaluating data analysis/metrics.

Experience:PaymentsFintechBig data

Skills:MentorshipCollaborationTechnical leadershipProblem-solvingTechnical communication

Tech Stack:AIMLPredictive analyticsData wranglingData modelingData governanceETLHadoopHiveKafkaRedisNoSQLRDBMSBig DataSparkFlinkMapReduce

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