Fiserv

22 hours ago

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

Build and deploy fraud risk predictive models for e-payments. Use statistical techniques to analyze payment behavior, prepare and summarize data, and develop classification models to distinguish legitimate from fraudulent activity. Install model code into production systems, track performance across Oracle and Python workflows, and present/document policies with client fraud-strategy stakeholders to negotiate approvals and implementation timelines.

Location: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Analyze payment data with statistical techniques to identify outliers across key measures such as transfer velocity, IP-distance profiling, and device recognition.
•Collect and summarize predictive features using SQL from data systems and use Python/Spark data structures for processing.
•Estimate predictive classification models to separate legitimate from fraudulent behavior using XGBoost, LightGBM, and neural network libraries.
•Install predictive model code in production systems and collect performance, creating policies for actions like manual review, live challenges via SMS, and suspension.
•Present policies and document models, negotiating approvals and implementation timelines with client fraud-strategy department stakeholders.

Pay and Benefits

Salary: USD 104,000 - 160,800 annually

Key Requirements

•Bachelor’s degree in a related field.
•3–5 years analytics experience, including 1–2 years of risk modeling experience.
•Hands-on SQL experience collecting data and summarizing attributes with counters, sums, histograms, and frequencies.
•Hands-on Python experience (e.g., read CSV, import data, run summary distributions, aggregate totals, exploratory analysis).
•Experience estimating predictive classification models using scikit-learn and measuring model performance (e.g., ROC, gains charts).

Experience:3-5 yearsFintechPaymentsE-commerce fraud prevention

Education:Bachelor's

Skills:PresentationDocumentationStakeholder managementAnalytical thinkingCommunication

Tech Stack:SQLOraclePythonSparkRXGBoostLightGBMNeural networksScikit-learnROCSMSCSVCHAIDH2OHadoop

Company Brief

Fiserv

Provides payments, processing services, risk management, and core banking technology to financial institutions, merchants, and businesses worldwide, enabling digital payments, account processing, and financial services integration.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn

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Fiserv

22 hours ago

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: Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Analyze payment data with statistical techniques to identify outliers across key measures such as transfer velocity, IP-distance profiling, and device recognition.
•Collect and summarize predictive features using SQL from data systems and use Python/Spark data structures for processing.
•Estimate predictive classification models to separate legitimate from fraudulent behavior using XGBoost, LightGBM, and neural network libraries.
•Install predictive model code in production systems and collect performance, creating policies for actions like manual review, live challenges via SMS, and suspension.
•Present policies and document models, negotiating approvals and implementation timelines with client fraud-strategy department stakeholders.

Pay and Benefits

Salary: USD 104,000 - 160,800 annually

Key Requirements

•Bachelor’s degree in a related field.
•3–5 years analytics experience, including 1–2 years of risk modeling experience.
•Hands-on SQL experience collecting data and summarizing attributes with counters, sums, histograms, and frequencies.
•Hands-on Python experience (e.g., read CSV, import data, run summary distributions, aggregate totals, exploratory analysis).
•Experience estimating predictive classification models using scikit-learn and measuring model performance (e.g., ROC, gains charts).

Experience:3-5 yearsFintechPaymentsE-commerce fraud prevention

Education:Bachelor's

Skills:PresentationDocumentationStakeholder managementAnalytical thinkingCommunication

Tech Stack:SQLOraclePythonSparkRXGBoostLightGBMNeural networksScikit-learnROCSMSCSVCHAIDH2OHadoop

Company Brief

Fiserv

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Brookfield, United States

Founded: 1984

Website LinkedIn