Top Data & Analytics Jobs

The Analyst Relations Manager at ABBYY will strengthen relationships with key analysts to enhance awareness and leadership in AI and automation. Responsibilities include managing high-impact engagements, executing analyst relation strategies, generating insights, and reporting on program success, with collaboration across marketing and product teams.

As a Human Data Manager, you will lead and mentor a team of AI tutors to ensure data integrity, conduct performance analyses, manage projects, analyze data quality, and collaborate with technical teams on innovative solutions in data curation.

The Global Applied Statistics & Analytics Head will lead the technical aspects of statistical analysis within Legend Biotech's MSAT organization. Responsibilities include establishing a Statistical Center of Excellence, providing mentorship, developing statistical analyses and models, ensuring compliance with cGMP processes, and collaborating globally to address complex technical problems in cell therapy manufacturing.

The Lead Credit Risk Analyst at Braviant will be responsible for analyzing credit risks and implementing data-driven methodologies to improve lending processes. This role requires collaboration with cross-functional teams to develop innovative solutions that enhance the customer experience and reduce borrowing costs for underbanked consumers.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

The Senior AI Skills Analyst will create data solutions, enhance product offerings, and streamline data collection and analysis through AI and machine learning techniques. Responsibilities include data integration, collaboration with engineering teams, reporting, and presenting findings to stakeholders. Extensive experience with datasets and learning technologies is required.

As a Senior Data Engineer, you will develop data architectures and analytics frameworks, implement data pipelines, manage data lifecycles, optimize ETL tools, and work with mission partners to improve their data capabilities. Your role also involves defining new work roles and creating tailored training programs while ensuring compliance with cybersecurity policies.

The Lead Data Science Product Manager will oversee AI and analytic solutions in the Claims and Payment Integrity domain, leading cross-functional teams to design, implement, and manage data science products. This role requires collaboration with various stakeholders, ensuring solutions meet business needs and provide measurable value, while maintaining product roadmaps and backlog management.

The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.

The position involves developing advanced image processing and machine vision algorithms for inspection, review, and metrology products in the semiconductor industry, utilizing deep learning for defect detection and classification.

The Principal Data Scientist at Visa will lead initiatives in machine learning and data engineering, focusing on improving business workflows and building advanced data models for transaction processing. Responsibilities include overseeing production workflows, ensuring data quality and governance, and automating data processes.

The Senior Machine Learning Engineer will design and maintain machine learning systems to detect fraud in real-time, collaborating with ML Modelers and Software Engineers on data sources and models. Responsibilities include solving technical problems at scale and owning solutions from design to operation.

As a Senior Machine Learning Engineer, you'll build and iterate ML infrastructure solutions, focusing on model development, deployment, and ensuring system reliability. Collaborating with team members, you'll drive MLOps initiatives and maintain frameworks critical to machine learning services, ensuring efficient and scalable solutions.

The Senior Machine Learning Engineer will design and maintain ML systems to detect fraud in real-time, collaborating with ML Modelers and Software Engineers. Key responsibilities include developing risk pipelines, integrating new data sources, and solving technical challenges in a fast-paced environment.

As a Senior Machine Learning Engineer, you will develop and implement cutting-edge machine learning algorithms, collaborate with product and analytics teams, and guide junior engineers. Your focus will be on designing system architectures, conducting experiments, and improving AI functionalities across Atlassian products.

The Principal Data Insight Analyst at Northrop Grumman will create data mining architectures, statistical reports, and data analysis methodologies to identify trends in large datasets. The role involves collaborating with business stakeholders, managing data integrity, and developing predictive models while ensuring compliance with security clearances.

As a Senior Software Engineer in the Central AI team, you will build and maintain core infrastructure to support machine learning engineers and data scientists. Your role involves solving complex infrastructure challenges, leading projects, and collaborating with other teams to ensure effective AI integration.