Top Data & Analytics Jobs

As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.

As a Senior Data Engineering Manager, you will lead a team in creating and managing analytical and operational data products. Your responsibilities include making technical decisions, organizing workloads, and mentoring team members to foster their professional growth.

As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.

The Principal Data Scientist will analyze customer friction insights to influence strategy, develop measurement frameworks, and lead the application of machine learning methods, particularly NLP/LLM, enhancing product quality. This role also involves mentoring other data scientists.

As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning algorithms focusing on forecasting. You'll collaborate with various teams to build scalable algorithms, empower model iteration, and provide guidance to junior engineers while ensuring the effective communication of model concepts to business partners.

As a Machine Learning Engineer, you will develop and implement machine learning and forecasting algorithms while collaborating with various teams. Your responsibilities include building scalable forecasting algorithms and managing the end-to-end ML development cycle to drive business impact.

As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborating across business and engineering teams to build scalable recommendation systems. Your work will involve designing system architectures, conducting model experiments, and applying AI/ML to enhance business intelligence and growth.