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SentiLink · 5 days ago

Data Scientist 2 - Full Stack

Chicago, IL

Full-time

Hybrid

Mid, Senior Level

$160K/yr - $210K/yr

2+ years exp

SentiLink is a company specializing in innovative identity and risk solutions. As a Data Scientist 2, you will build core products to identify fraud and advance financial risk products, requiring strong technical abilities and deep domain understanding.

Cyber SecurityFraud DetectionIdentity ManagementInformation TechnologyNetwork Security

No H1B

Responsibilities

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring

Research new types of fraud and develop new SentiLink products around identity verification

Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products

Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering

Write production-ready code that can be relied on for real-time decision making by our partners

Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts

Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Qualification

PythonMachine LearningStatistical AnalysisProduction Code WritingPostgreSQLAWS InfrastructureStartup ExperienceDetail OrientedCommunication SkillsFast-Paced Environment Adaptability

Required

2+ years relevant work experience & relevant PhD or 4+ years & relevant Masters

Proven track record of solving complex / high profile business problems with DS / ML solutions

Experience in communicating outcomes / progress to senior management / stakeholders

Very strong in 'end to end' DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)

Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed

Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is

Experience writing production code and tests

Detail oriented and thoughtful - someone we can rely on to make 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

Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems