Sardine

1 month ago

Lead - PoC Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead a PoC data science team focused on fraud prevention, driving enterprise customer engagements from data pull to stakeholder readout, while delivering production-ready ML solutions and shaping fraud strategy. You’ll mentor a team, own POC/POV delivery, and collaborate with Engineering, Product, and GTM to scale fraud models."

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and develop a team of data scientists — set direction, unblock work, run 1:1s, and grow each person’s scope and impact
•Own POC/POV delivery — partner directly with enterprise customers to demonstrate fraud-loss reduction and platform ROI from data pull to stakeholder readout
•Stay hands-on in the technical work — build or review ML models, conduct in-depth fraud analyses, and ship production-grade solutions with your team
•Define and track performance metrics — design dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients
•Translate client problems into data solutions — act as a senior point of contact for fraud challenges, turning complex findings into clear recommendations

Pay and Benefits

Salary: USD 160,000 - 270,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual BonusRemote WorkHealth Insurance401kMacbook ProHome OfficeMeal StipendSocial StipendWellness StipendLearning Stipend

Key Requirements

•7+ years of experience in fraud/risk data science and analytics with demonstrated impact in fraud, payments, or fintech
•3+ years in a people leadership role (team lead, manager, or tech lead with direct reports)
•Strong hands-on technical skills — Python and SQL are essential; Spark, Kafka, or feature stores are a plus
•Experience delivering POC/POV engagements with measurable customer outcomes
•Proven track record with applied ML in fraud or risk — anomaly detection, classification, and graph analytics in production

Experience:7+ yearsFraudFintechPaymentsRisk

Skills:PythonSQLLeadershipCommunicationData analysis

Languages:English

Tech Stack:PythonSQLSparkKafkaFeature storesSigmaTableauMetabase

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website

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Sardine

1 month ago

Lead - PoC Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and develop a team of data scientists — set direction, unblock work, run 1:1s, and grow each person’s scope and impact
•Own POC/POV delivery — partner directly with enterprise customers to demonstrate fraud-loss reduction and platform ROI from data pull to stakeholder readout
•Stay hands-on in the technical work — build or review ML models, conduct in-depth fraud analyses, and ship production-grade solutions with your team
•Define and track performance metrics — design dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients
•Translate client problems into data solutions — act as a senior point of contact for fraud challenges, turning complex findings into clear recommendations

Pay and Benefits

Salary: USD 160,000 - 270,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual BonusRemote WorkHealth Insurance401kMacbook ProHome OfficeMeal StipendSocial StipendWellness StipendLearning Stipend

Key Requirements

•7+ years of experience in fraud/risk data science and analytics with demonstrated impact in fraud, payments, or fintech
•3+ years in a people leadership role (team lead, manager, or tech lead with direct reports)
•Strong hands-on technical skills — Python and SQL are essential; Spark, Kafka, or feature stores are a plus
•Experience delivering POC/POV engagements with measurable customer outcomes
•Proven track record with applied ML in fraud or risk — anomaly detection, classification, and graph analytics in production

Experience:7+ yearsFraudFintechPaymentsRisk

Skills:PythonSQLLeadershipCommunicationData analysis

Languages:English

Tech Stack:PythonSQLSparkKafkaFeature storesSigmaTableauMetabase

Company Brief

Sardine

Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.

Industry: Cybersecurity

Website