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Top Hybrid Data & Analytics Jobs
The FedNow Data Specialist in Fraud Prevention will analyze transactional and behavioral data to prevent fraud, develop and implement fraud detection rules and models, and communicate findings to stakeholders. The role requires collaboration with data scientists and other specialists to enhance fraud prevention strategies using various analytical and modeling tools.
As a Fraud Analyst in Payments, you will develop expertise in fraud services, support training efforts, monitor fraud activities, and collaborate with model development teams. Strong analytical skills are required to interpret large datasets while effectively communicating with stakeholders.
As a Fraud Analytics Vice President, you will lead analytic efforts in Fraud Risk Management by developing strategies to mitigate fraud losses in New Account Originations. Responsibilities include providing analytic support, reporting on De-risking initiatives, assessing fraud trends, and collaborating with cross-functional teams to enhance operational processes and controls.
As a Vice President in Fraud Analytics, you will analyze strategies to reduce fraud losses and enhance revenue. You will develop expertise in DDA New Account Originations, provide analytic support for de-risking initiatives, and collaborate with cross-functional teams to implement best practices in fraud management.
As a Data Scientist, you will deliver data science solutions for Risk Management within Asset Management, focusing on risk transparency, data integration, and stakeholder engagement. Responsibilities include managing projects, designing analytics solutions, and communicating findings to leadership. Your role supports continuous improvement of processes and technology adoption.
As a Data Scientist at Ibotta, you will analyze large datasets, apply statistical and machine learning techniques to extract insights, and collaborate with stakeholders to drive business decisions. You will build and refine data models, contribute to best practices, and support the organization through data-driven initiatives.
Featured Jobs
The Photonics Technologies Scientist at Aerospace will focus on research and development of emerging photonic technologies for space systems, including optical communications and quantum photonics. Responsibilities include analyzing novel photonics solutions, simulating and manufacturing photonic integrated circuits, and engaging with stakeholders to provide technical guidance. The role requires a PhD and a minimum of five years of relevant experience, emphasizing collaboration and innovation.
As a Space Object Custody and Risk Analyst, you will provide technical capabilities in space situational awareness and traffic management. You'll support analyses related to collision risk assessments, conduct technical studies, develop presentations, and work with multi-disciplinary teams for customer briefs. The role involves onsite collaboration at various locations with occasional travel.
As a Space Object Custody and Risk Analyst, you will support technical analyses and software development related to space situational awareness and traffic management, engage in customer needs assessments, and produce reports and briefings. You will also contribute to real-time operations involving collision risk assessments and participate in multi-disciplinary projects.
As a Decision Analytics Consultant for Supply Chain at ZS, you will work on challenging supply chain projects, leveraging analytics to find solutions. Your responsibilities include analyzing complex data sets, collaborating with teams, managing projects, and contributing to internal solutions.
The Data Strategy Manager at ZS will deliver data strategy solutions for life science clients, managing projects from scoping to execution while building client relationships and mentoring junior team members.
As a Decision Analytics Associate Consultant, you will develop statistical models, utilize data analytics to aid decision-making, and create custom analyses tailored to client needs. You'll collaborate on projects to enhance client insights, maintain communications, and ensure quality checks while mentoring junior associates.
As a Credit Risk Policy Analyst, you will document, improve, and monitor chargeback risk processes for Square, managing policies for credit agents and adapting strategies to better serve sellers. Your responsibilities will include analyzing data for performance monitoring and facilitating operational efficiencies, while fostering relationships across internal teams to address losses and improve processes.
The Staff Machine Learning Engineer will lead and shape the technical vision for Cash App's underwriting and credit solutions by architecting robust systems and mentoring engineers. Responsibilities include enhancing ML infrastructure, collaborating with cross-functional teams, and contributing to large-scale features tied to financial health and accessibility for customers.
As a Senior People Systems Analyst at Block, you will support the Workday platform by delivering process documentation, configuration, and solutions for business stakeholders. Responsibilities include analyzing data, improving workflows, testing, training, and post-implementation support while working with cross-functional teams to optimize the People systems.
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.
The Senior Machine Learning Engineer will develop and enhance machine learning pipelines and infrastructure to secure Cash App's identity verification processes. This role involves building scalable solutions used to detect and manage inauthentic identities while collaborating with a team to drive effective machine learning practices.
As a Senior Scientist II at Mondelēz International, you will lead R&D activities for new snack food products, coordinating technical projects, managing product testing, and guiding cross-functional teams to ensure consumer-focused product development. You will utilize consumer insights to inform specifications and influence strategic decisions, directing the product innovation pipeline.
The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.
The Head of Enterprise Data Access Management and Privacy Classification oversees the transition to a more detailed data access model, ensuring privacy compliance and security. Responsibilities include leading global initiatives, developing strategies, managing risks, and building partnerships with stakeholders. This role requires fostering a collaborative culture and driving improvements in data access practices across the organization.
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
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