Visa

1 week ago

Sr Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build advanced analytics and statistical/econometric models to embed data science into North America FP&A decision-making. Transform large datasets into predictive, diagnostic, and scenario-based insights across revenue, cost of volume, macroeconomic drivers, and strategic growth pillars. Develop reusable analytical frameworks, dashboards, and executive-ready narratives, while partnering with multiple Visa teams and mentoring others in modern analytic techniques.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Apply big data techniques (including AI) to analyze high-volume transaction, volume, pricing, and client behavior datasets.
•Design and build statistical and econometric models, including regressions, forecasts, scenario analyses, and sensitivity analyses for financial performance.
•Develop repeatable analytical frameworks for reuse across planning cycles, forecasts, and strategic reviews.
•Create executive-ready narratives and visualizations that translate complex analytical results into strategic recommendations for FP&A and business stakeholders.
•Partner with Visa teams and mentor others in modern analytic techniques and business applications.

Travel: Low travel

Pay and Benefits

Salary: USD 161,400 - 258,500 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•5+ years of relevant work experience with a Bachelor’s degree, or 2+ years with an advanced degree, or 0 years with a PhD.
•Experience applying big data techniques and building statistical/econometric models (regressions, forecasts, scenario and sensitivity analyses).
•Hands-on skills extracting and aggregating data from large datasets using SQL/Hive or Spark.
•Proficiency analyzing large datasets with Python and/or R, SQL, and/or Spark in a modern IDE environment.
•Ability to translate complex analytics into business and financial insights for senior leadership and stakeholders.

Experience:5+ yearsPaymentsFinancial servicesFP&A

Education:Bachelor's

Skills:Analytical curiosityProblem-first mindsetIndependent workCommunicationCollaboration

Tech Stack:SQLHiveSparkPythonRVSCodePycharmTableauPower BIGGPlotPlotlyCodexCoPilotClaud Code

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

Sr Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Apply big data techniques (including AI) to analyze high-volume transaction, volume, pricing, and client behavior datasets.
•Design and build statistical and econometric models, including regressions, forecasts, scenario analyses, and sensitivity analyses for financial performance.
•Develop repeatable analytical frameworks for reuse across planning cycles, forecasts, and strategic reviews.
•Create executive-ready narratives and visualizations that translate complex analytical results into strategic recommendations for FP&A and business stakeholders.
•Partner with Visa teams and mentor others in modern analytic techniques and business applications.

Travel: Low travel

Pay and Benefits

Salary: USD 161,400 - 258,500 annually

Perks:Health InsuranceDentalVision401kFsa/hsaLife InsurancePaid LeaveWellness Stipend

Key Requirements

•5+ years of relevant work experience with a Bachelor’s degree, or 2+ years with an advanced degree, or 0 years with a PhD.
•Experience applying big data techniques and building statistical/econometric models (regressions, forecasts, scenario and sensitivity analyses).
•Hands-on skills extracting and aggregating data from large datasets using SQL/Hive or Spark.
•Proficiency analyzing large datasets with Python and/or R, SQL, and/or Spark in a modern IDE environment.
•Ability to translate complex analytics into business and financial insights for senior leadership and stakeholders.

Experience:5+ yearsPaymentsFinancial servicesFP&A

Education:Bachelor's

Skills:Analytical curiosityProblem-first mindsetIndependent workCommunicationCollaboration

Tech Stack:SQLHiveSparkPythonRVSCodePycharmTableauPower BIGGPlotPlotlyCodexCoPilotClaud Code

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