Top Data & Analytics Jobs

The Data Annotation Specialist reviews and labels various data types for AI and ML training data. This role requires attention to detail and teamwork within a large group, while effectively communicating and adapting to changing priorities.

As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.

The Data Engineer will design, build, and maintain data pipelines and architectures in AWS, focusing on data integrity and automated testing. Responsibilities include developing ETL processes, standardizing and cleansing data, building data consumption patterns, and implementing automated CICD practices. Documentation and monitoring of data processes are also key aspects of the role.

The Sr Tariff Compliance Analyst develops and implements ISO tariff compliance processes, conducts compliance assessments, maintains compliance data, collaborates with legal and stakeholders, and supports compliance communication and training within the organization.

As Associate Director of Data Strategy, you will manage multi-channel data and predictive analytics projects, helping clients maximize data utility through solutions tailored to their marketing needs. You will lead a team of Data Strategy Managers and guide clients in building comprehensive data models to enhance measurement and performance.

As an Azure Data Platform Architect at Collectiv, you will deliver end-to-end data solutions on Azure, engage with clients to assess data requirements, design and implement solutions, develop ETL processes, optimize performance, and ensure compliance. You will also create documentation and provide client training while staying current on Azure best practices.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.