
B2B • eCommerce • Security
SheerID is a global leader in identity verification for commerce. The company provides a platform that allows businesses to create and verify eligibility for gated offers targeted at community groups such as students, military members, and healthcare professionals. By leveraging over 200,000 authoritative data sources, SheerID's verification platform enhances customer acquisition, loyalty programs, and fraud prevention for its clients. The platform ensures that customer data is securely owned by the businesses and not resold, empowering clients with direct engagement and marketing capabilities. SheerID is known for its white-label verification experience that can be deployed online, mobile, and in-store, and for helping global brands retain and convert customers efficiently.
October 22

B2B • eCommerce • Security
SheerID is a global leader in identity verification for commerce. The company provides a platform that allows businesses to create and verify eligibility for gated offers targeted at community groups such as students, military members, and healthcare professionals. By leveraging over 200,000 authoritative data sources, SheerID's verification platform enhances customer acquisition, loyalty programs, and fraud prevention for its clients. The platform ensures that customer data is securely owned by the businesses and not resold, empowering clients with direct engagement and marketing capabilities. SheerID is known for its white-label verification experience that can be deployed online, mobile, and in-store, and for helping global brands retain and convert customers efficiently.
• Lead the design and implementation of complex AI and machine learning solutions: Leverage your deep expertise to architect and develop high-performance, scalable models to detect and prevent fraud, with a focus on data-intensive applications. • Drive technical excellence and innovation: Champion best practices and explore emerging AI technologies, including advanced machine learning, deep learning, and graph analysis techniques, to enhance our fraud detection platform. • Mentor and guide fellow data scientists and engineers: Provide technical leadership, conduct comprehensive code and architectural reviews, and foster a culture of continuous learning and improvement. • Influence architectural decisions: Collaborate with engineering leadership and product managers to define and evolve the technical direction of our data platform and fraud strategies, clearly articulating model scaling and reliability trade-offs. • Solve the hairiest technical problems: Act as a technical escalation point, quickly identifying and evaluating potential solutions for the most challenging issues, from data quality to model performance. • Own the full data science lifecycle: From high-level design and development to model deployment, monitoring, and post-mortem analysis, take ownership of projects and drive them to successful completion. • Collaborate effectively: Work closely with product managers, data engineers, and other stakeholders to translate complex business requirements and research into robust, production-ready AI solutions.
• Bachelor’s degree in Computer Science, Software Engineering, Statistics, or a related quantitative field (equivalent experience considered). • 10+ years of relevant experience in data science, with a strong focus on predictive fraud analytics and large-scale data applications. • Proven ability to design, develop, and deploy scalable and maintainable machine learning models in a production environment. • Deep understanding of statistical methods, machine learning algorithms, and advanced data mining techniques. • Proficiency in a statistical/general programming language (e.g., Python, R, Scala), with extensive experience with relevant libraries and frameworks. • Expertise in debugging complex data issues and model performance problems. • Exceptional communication, interpersonal, and problem-solving skills, with a demonstrated ability to influence and lead across teams. • Strong foundational knowledge of data architecture/data warehousing and a track record of execution.
• SheerID is an equal opportunity employer. • All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. • We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. • SheerID believes that diversity and inclusion is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
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