About this opportunity
Glocomms lists this Staff Data Scientist opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We're seeking a Staff Data Scientist to support the continued evolution of a document verification and fraud prevention platform used across highly scaled digital environments. This role blends applied machine learning, experimentation, analytics, and product-focused problem solving. You'll work closely with engineering, product, and operations teams to develop models, uncover insights, and build frameworks that improve both performance and decision-making.
Key Responsibilities
Develop and enhance machine learning solutions focused on identity verification, document analysis, fraud detection, image assessment, and biometric-related use cases.
Explore new data signals, modeling techniques, and detection strategies to improve prediction accuracy and risk outcomes.
Collaborate with engineering teams to launch, monitor, and refine models operating in live environments.
Investigate fraud patterns, customer behaviors, and emerging threats using large-scale datasets.
Design rigorous model assessments and performance studies using offline and production data.
Establish metrics, reporting frameworks, and monitoring capabilities to track model effectiveness and business impact.
Create internal tools that streamline evaluation workflows, investigations, experimentation, and operational processes.
Partner with stakeholders across product, operations, and technology teams to translate business challenges into data-driven solutions.
Present findings and recommendations that help guide product strategy and machine learning investments.
Requirements
Advanced degree or equivalent industry experience in Data Science, Computer Science, Statistics, Mathematics, or a related technical discipline.
5+ years of experience working in machine learning, advanced analytics, fraud, risk, or data science environments.
Demonstrated success building, validating, and improving machine learning models used in production.
Strong proficiency with Python and SQL.
Experience leveraging modern data and ML platforms such as Databricks, Spark, SageMaker, or similar ecosystems.
Solid foundation in experimentation, statistical methods, model measurement, and performance analysis.
Ability to communicate complex analytical findings to both technical and non-technical audiences.
Compensation: Competitive base salary, equity opportunity, and comprehensive benefits package.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.