• Data Discovery: You start your journey by conducting a deep dive into our data, mapping telemetry, service tickets, and machine metadata to build a labeled dataset linking sensor signals to historical failure events • Method Benchmarking: You perform a rigorous method benchmarking by comparing classical anomaly detection methods (e.g., Isolation Forest, ARIMA) against modern time-series deep learning approaches (e.g., LSTMs, Transformers) • Proof of Concept: You implement a robust proof of concept, applying your best model to specific machine classes to simulate the alert-to-ticket workflow and measure early breakdown detection • Business Case Quantification: You quantify the concrete business case, analyzing cost reduction potentials, revenue upside opportunities in service contracting, and future product enhancements to capture additional value • Academic Write-up & Publication: You are responsible for the evaluation, interpretation, and documentation of the results in English, preparing both your thesis and a co-authored research paper for publication in reputed journal

• You will assist in evaluating new applications and software solutions • You will maintain and update our application landscape and the associated documentation • You will document processes and help build a structured knowledge base • You will analyze our software licenses and identify optimization opportunities • You will support 1st-level support for selected business applications • You will contribute to smaller projects in Application Management and IT Service Management • You will assist in preparing analyses, reports, and decision templates related to our application landscape

• Support the evaluation of new applications and software solutions • Maintain and update our application landscape and its related documentation • Document processes and help build a structured knowledge base • Analyze software licenses and identify opportunities for optimization • Provide 1st-level support for selected business applications • Contribute to smaller projects in the areas of Application Management and IT Service Management • Assist in preparing analyses, reports, and decision-making materials related to our application landscape

• Welcome new families to K12 Schools and guide them through account setup, platform navigation, and orientation resources. • Build positive, supportive relationships with students to increase motivation, connection, and sense of belonging. • Monitor student participation in classes and online learning environments; follow up with students showing disengagement or non-participation. • Develop and implement engagement plans and incentive programs to promote consistent attendance and academic involvement. • Collaborate with teachers to adapt instructional strategies and promote active learning for struggling students. • Communicate regularly with families regarding attendance expectations, concerns, and improvement plans. • Coordinate with school counselors, social workers, and administrators to address attendance barriers (health, motivation, family, etc.). • Attend attendance conferences and serve as part of the school academic intervention team. • Collaborate with classroom teachers to align remediation activities with current curriculum and student learning goals. • Use assessment data to design and monitor intervention plans that accelerate student progress. • Document academic interventions and report student progress to stakeholders. • Communicate regularly with families and maintain confidentiality of student information. • Demonstrate commitment to equitable outcomes and culturally responsive practices. • Maintain accurate records of interactions and supports in PowerSchool with clarity and completeness. • Participate actively in professional learning and contribute to a positive school culture. • Apply knowledge of school systems, policies, and procedures to resolve requests.