Applied ML Scientist

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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SentiLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

📋 Description

• Develop and maintain fraud detection models through the full model development lifespan, from data acquisition decisions through featurization, labeling, training, experimentation, productionalization, and monitoring • Build foundational modeling for Fraud and Financial Risk products • Research new types of fraud and develop products around identity verification • Iterate research and development, integrate new data sources, and create inventive feature engineering • Write production-ready code for real-time decision-making by partners • Design, perform, and present analyses informing data acquisition, product development, risk operations, marketing, and sales • Collaborate with engineering, risk operations, and data acquisition teams to access necessary data, maintain data quality, and support data access • Own a domain as the technical authority and work on high-visibility, high-impact projects across the company

🎯 Requirements

• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field, or equivalent experience/research • Strong foundation in machine learning, statistics, or applied data science • Experience with Python and common data science tools through coursework, research, internships, or personal projects • Demonstrated ability to analyze complex problems and build data-driven solutions • Strong communication skills and ability to explain technical ideas clearly • Interest in learning deeply about fraud, identity, and financial risk systems • Ability to write clean, maintainable code • Strong attention to detail and curiosity about real-world data problems • Legally authorized to work in the United States • Must live in the United States • Ability to thrive in a fast-paced environment solving varied, high-impact, open-ended problems

🏖️ Benefits

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match • Flexible paid time off • Regular company-wide in-person events • Home office stipend