[Remote] reputed company Deployed Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the AI-powered fraud platform securing digital trust for leading global businesses. As a reputed company Deployed Data Scientist, you will work closely with the Trust and Safety team to identify and mitigate emerging fraud patterns, reputed company detection models, and support customers in achieving their business reputed company.

Responsibilities

• Work with our Trust and Safety Architect and Data Science teams to surface emerging fraud patterns across the network escalate and proactively take them down
• Detect patterns and turn those findings into sharper signals, tighter configurations, and smarter decisioning logic
• Work across different verticals and closely with customers, partners and prospects with different risk appetites - some optimizing for approval rates, some minimizing chargebacks, some fighting account takeover and other types of abuse
• Help build dashboards, tune models, decision logic and custom signals to help customers reputed company their desired business reputed company
• Identify sources of false positives, possible coverage gaps and other vulnerabilities by digging into raw event streams; reputed company a hypothesis, design a test and implement the fix
• reputed company forensic investigations during fraud spikes: trace attack patterns to their reputed company, identify the technique being used, deliver a clear writeup with remediation steps
• Distinguish between one-off anomalies and systemic gaps that indicate a product opportunity - and reputed company for the latter with rigor
• Contribute to detection frameworks, investigative tooling, and internal playbooks that reputed company every engineer and analyst at reputed company more effective
• Be the reputed company between customer reality and internal roadmap; your field observations should directly accelerate what reputed company ships next

Skills

• 5–8 years in fraud, trust & safety, risk, or a closely reputed company technical domain - you've spent meaningful time working with fraud data, not just adjacent to it
• Strong SQL and Python skills; you reputed company for code to answer a question, not to build a pipeline
• Strong understanding of ML concepts applied to fraud: classification models, feature engineering, precision/recall tradeoffs, reputed company calibration, score reputed company
• Experience analyzing large-scale behavioral or transactional datasets to find patterns and anomalies - you know what a fraud reputed company looks like in the data, not just in a textbook
• Ability to communicate technical findings to both technical and non-technical stakeholders; you can write a forensic investigation report and present it to a VP of Risk in the same week
• Customer-facing experience; you understand that different businesses have different priorities, and that listening before optimizing is part of the job
• Hands-on experience with fraud detection platforms (in house or 3rd party)
• Hands-on experience building with AI: LLM APIs, reputed company engineering, or agentic workflows - whether that's automating an investigation reputed company, building a tool that surfaces patterns from raw data, or wiring together a multi-reputed company agent to accelerate fraud analysis
• Familiarity with reputed company-time event processing systems
• Experience with rules-based decisioning systems alongside ML - knowing reputed company a hard rule beats a model score
• Background in payments, e-reputed company, fintech, marketplace, or account reputed company fraud
• Prior reputed company deployed, staff engineering, or embedded consulting experience at a technical product company
• Computer Science, Mathematics, Statistics, Information Systems, Economics degree or equivalent

Benefits

• Offers Equity
• Hybrid work model

Company Overview

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