Data Scientist, Full Stack

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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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, including data acquisition, featurization, labeling, training, experimentation, productionalization, and monitoring • Build foundational modeling for Fraud and Financial Risk products • Research new types of fraud and develop identity verification products • Iterate on 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

🎯 Requirements

• 2+ years relevant work experience and relevant PhD, or 4+ years relevant work experience and relevant Master’s degree • Proven track record solving complex or high-profile business problems with data science or machine learning solutions • Experience communicating outcomes and progress to senior management and stakeholders • Strong end-to-end data science development experience, from planning and success criteria through solution delivery • Strong practical machine learning and statistics knowledge • Interest in developing deep domain expertise for product-focused work • Experience writing production code and tests • Detail-oriented and thoughtful approach to business-changing decisions • Experience working at a startup • Candidates must be legally authorized to work in the United States and must live in the United States • Ability to thrive in a fast-paced environment solving varied, high-impact, open-ended problems • Familiarity with identity solutions, fintech, or adjacent industries is a bonus • Technologies: Python 3, PostgreSQL, and AWS infrastructure including EC2, S3, RDS, and Redshift

🏖️ Benefits

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