• Reviewing students’ homework assignments on our gamified LMS platform • Answering student questions in chats and on video calls • Conducting mock technical interviews for students • Proposing ideas to enhance our educational process

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives. • Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact. • Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency. • Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization. • Translate business requirements into scalable analytical solutions and measurement frameworks. • Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement. • Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner. • Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting. • Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

• Define, own, and drive the product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing • Engage deeply with customers, partners, and open-source communities to discover underlying needs, owning the voice of the customer and incorporating insights into roadmaps and priorities • Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization all matter • Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to create agentic analytics architectures and reference blueprints • Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

• Be seen as expert in LCA modelling for electronics, pharma, renewable materials, textiles, construction or similar sector • Help to coordinate the according dataset sector upgrade • Contribute to the development of data-on-demand datasets as well as external client projects • Work according to the process based on the “Scrum” methodology updating and creating content for the MLC databases • Support customer inquiries and information requests • Support the planning of own work • Drive AI and other tool usage to improve data management