2 junior data scientist jobs found

Your tasks ML Product Development:   Independent conception, analysis and scaling of data-driven software products (from prototype to productive feature). MLOps & Lifecycle:   Building automated ML pipelines (CI/CD) as well as monitoring and maintenance of models in the cloud (e.g. Google Cloud / Vertex AI). Software Design:   Active participation in the design of modern software architectures for the control of decentralized energy systems, focusing on performance and scalability. Internal Enablement:   Development of tools and interfaces for self-service data access within various departments. Quality assurance:   Consistent application of clean code, conducting code reviews, and further development of internal engineering standards. Agile collaboration:   Technical leadership and mentoring within the team, as well as close coordination with product owners regarding technical feasibility and effort estimation. Your profile...

ABOUT ZELARA Current CRM marketing is broken. It blasts generic messages at scale and calls it "personalization." Our founders lived this problem while leading global, tech-enabled B2C businesses - and decided to fix it. Zelara is   the AI operating system for personalized, digital customer experiences . Our platform uses generative AI and machine learning to build a self-optimizing system that personalizes every B2C interaction in real time — turning impersonal marketing into conversations customers actually welcome. Early results with enterprise customers show a lift in conversion rates and revenue growth. We are well-funded, already generating revenue with paying enterprise customers, and seeing strong market pull. Now we are building the team to scale. THE ROLE This is not a role where you inherit a mature ML stack and optimize metrics at the margin. This is the chance to be the person who builds the core intelligence of an AI-first company from the ground up...