Hiring: Head of Machine Learning Company: SentiLink Location: Chicago, IL Job Posted Time: 2026-09-10 02:13:29 Employment Type: Remote Target Skills & Keywords : AWS, EC2, Machine Learning, Make, PostgreSQL, Python, RDS, Redshift, S3 About the job Experience: •4-7 years experience directly managing a team of data scientists, ideally in a startup environment. •7 years experience directly managing a team of data scientists, ideally in a startup environment. •3+ years of startup experience. Required Skills: •Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6. •Act as a technical mentor that can dive deep and provide detailed direction. •Lead planning, resourcing and communications with senior leadership, product and engineering teams. •Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines. •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. •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. Qualifications: •10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD. •4-7 years experience directly managing a team of data scientists, ideally in a startup environment. •3+ years of startup experience. •Excellent communicator and team player. •Demonstrated success in solving complex / high profile business problems with DS / ML solutions. •Proven hands-on 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. Experience with SOTA ML solutions is a plus. •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. Compensation: •$210,000 - $260,000 / year •Employer paid group health insurance for you and your dependents Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!