✦ Luna Orbit — AI & Machine Learning

Trust and Safety - Senior Data Scientist

at Scale AI

📍 San Francisco, CA Unknown Posted April 02, 2026
Apply Now → ← Browse All Jobs

Position Details

Type Full-Time
Experience senior
Exp. Years 5–8 years
Education Not specified
Category AI & Machine Learning

About this role

Scale AI is seeking a Senior Data Scientist for Trust and Safety to own fraud/abuse detection models end-to-end. You will design and productionize signals from identity, behavioral, and third-party data, leveraging AI coding tools and a strong SQL/Python foundation.

Key Responsibilities

  • Own the model lifecycle — labels → features → deployment → iteration
  • Ground truth and feature store design across data sources
  • Design and ship detection systems using clustering and anomaly detection
  • Move fast with AI-assisted development tools
  • Communicate model performance and tradeoffs to ops leads

Technical Overview

You will operate across the full stack—from data modeling to production deployment—using Snowflake, Python, and rule engines, with emphasis on unsupervised methods and alerting/monitoring pipelines. Communication with Ops and engineering is essential to translate model outputs into real-world actions.

Ideal Candidate

The ideal candidate is a senior data scientist (5–8 years in DS/ML) with proven production fraud/abuse detection experience, expert SQL and Python skills, and the ability to work across the full stack including Snowflake DDLs and alerting systems. They should be comfortable with AI coding tools (Cursor, Claude Code) and capable of operating at scale in a Trust & Safety role.

Must-Have Skills

5–8 years in Data Science or Machine LearningProduction fraud/abuse/integrity model shipped end to endStrong proficiency with AI coding assistantsExpert SQL and PythonComfort operating across the full stack: Snowflake DDLsPython modelingrule enginesalerting systemsworkflow orchestration

Nice-to-Have Skills

Marketplace or gig-economy platform experienceExperience building linkage/graph-based detectionFamiliarity with identity verification vendors and their signal taxonomiesExperience building automated alerting and monitoring pipelinesExposure to 24/7 production environments with on-call rotation

Tools & Platforms

Snowflake

Required Skills

5–8 years in Data Science or Machine Learningproduction fraud/abuse/integrity model shipped end to endproficiency with AI coding toolsexpert SQL and Pythonfull-stack experience (Snowflake DDLsPython modelingrule enginesalertingworkflow orchestration)unsupervised methods including clustering and anomaly detection

Hard Skills

SQLPythonFeature storeUnsupervised learningClusteringAnomaly detectionSnowflake DDLsRule enginesAlerting systemsWorkflow orchestration

Soft Skills

Cleardirect communicationCross-functional collaborationIndependent problem solving

Industry & Role

Industry Technology
Job Function Senior data scientist leading fraud/abuse detection models for Scale AI Trust and Safety
Role Subtype Data Scientist
Tech Domains SQL / PostgreSQL, Python, Snowflake, Tableau, Power BI

Keywords for Your Resume

Trust and SafetyData Scientistfraud detectionabuse detectionproduction modelSQLPythonfeature storeunsupervised methodsclusteringanomaly detectionrule enginesproduction deploymentAI coding toolsCursorClaude CodeSnowflakedata signalsidentity databehavioral datathird-party dataprecision/recall trade-offalerting systemsdata scientistsqlpythonunsupervised learningcursor

Deal Breakers

No 5–8 years DS/ML experience, No production fraud model experience, Lack of SQL/Python proficiency

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile