• Support o9 model build phase covering EDA, Feature Engg, Experimentation, slicing strategy, parameter tuning and reports review in coordination with RDS • Support resolving model input data defects in coordination with Data Science Leads, BU DP Champions and Data Stewards • Perform experiments supporting value to o9 model building on o9 experiment zone/tenant • Participate in o9 Data Science trainings and upskilling plan • Support Achilles project to harmonize the forecast granularity, driver ingestion, and experimentation • Support during integration testing and user testing for specific business units in scope • Support BU wise Data Quality Improvement track • Build long term sustainable plan for AI/ML Model runs for the specific BU in scope

• Create, develop, and improve machine learning models to enhance business performance and product effectiveness • Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements • Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency • Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments • Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure • Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

Role Description - Kommunikation: Hauptansprechpartner für den Kundenkontakt deiner Kunden und die regelmäßige Kommunikation. - Performance-Analyse: Kontinuierliche Performance-Analyse und Ableitung proaktiver Maßnahmen, um Kundenbedürfnisse zu erkennen und die Kundenzufriedenheit zu sichern. - Kampagnenoptimierung: Verantwortung für die kontinuierliche Kampagnenoptimierung, um die Ziele der Kunden zu erreichen. - Umfang: Eigenständige Betreuung eines Portfolios von typischerweise 2 großen und 4 bis 5 mittelgroßen Kunden. - Creative Briefings: Erstellung präziser Briefings für Creative-Teams. - Umsatzverantwortung: Übernahme der Verantwortung für die Kundenbindung und Umsatzsteigerung als zentrale Schnittstelle zur Agentur. Qualifications - Meta Ads Expertise: Fundiertes und tiefes Wissen in Meta Ads als K.O.-Kriterium. - Erfahrung: Nachweisliche Erfahrung in der eigenständigen Betreuung von Kunden im Performance Marketing. - Growth Mindset: Stark ausgeprägtes Growth Mindset und Interesse an neuen Tools und Entwicklungen in der Branche. - Selbstorganisation: Hohe Fähigkeit zur Selbstorganisation und Eigeninitiative, um in unserer freien Agenturstruktur erfolgreich zu sein. - Bonus - TikTok: Kenntnisse im Bereich TikTok Ads. Benefits - Arbeitsort: 100% Remote-Work und flexible Arbeitsweise. - Workation: Wie z.B. Paris, Prag oder Gardasee. - Kultur: Flache Hierarchien und die Chance, Verantwortung schnell zu übernehmen und eigene Prozesse zu gestalten. - Entwicklung: Regelmäßige Feedbackschleifen zur aktiven Förderung deiner Entwicklung.

Role Description We are seeking a SAP Supply Chain Planning Analyst to join our Manufacturing Supply Chain team as part of a large-scale SAP S/4HANA transformation. This role is ideal for a candidate with foundational hands-on experience in SAP S/4HANA Production Planning and Detailed Scheduling (ePP/DS) who is looking to grow into a broader end-to-end supply chain planning role. You will work closely with senior SAP SCM and IT leads, business stakeholders, and system integrators to design, configure, and deploy core SAP standard solutions that support manufacturing, intercompany planning, and supply-demand synchronization. This role offers strong learning, visibility, and long-term growth opportunities within a global manufacturing environment. What you will do - SAP S/4HANA Production Planning & Scheduling (Primary Focus) - Support configuration and deployment of S/4HANA ePP/DS functionality, including: - Production planning and scheduling - Heuristics, alerts, and capacity evaluation - Master data such as PDS, resources, BOMs, and routings - Assist in detailed production scheduling and execution alignment across plants. - Participate in Fit-to-Standard workshops and help translate business requirements into SAP planning solutions. - Integrated Business Planning (Secondary Focus) - Provide functional support and analysis for SAP IBP processes such as: - Demand and supply planning - Sales & Operations Planning (S&OP) - Collaborate with senior experts to support integration between IBP and S/4HANA ePP/DS. - Intercompany & Manufacturing Flows - Support intercompany manufacturing and distribution planning, including: - Plant-to-plant supply - Make-to-stock and make-to-order scenarios - Help ensure planning consistency across internal supply chains. - Cross-Functional Integration & Delivery - Work with MM, SD, QM, WM/EWM, and FI/CO teams to support end-to-end process integration. - Assist with data migration, testing (unit, integration, UAT), and cutover activities. - Support post–go-live stabilization, user adoption, and continuous improvement initiatives. Qualifications - Bachelor’s degree in Supply Chain, Engineering, Information Systems, Computer Science, or a related field. - 6-8 years of experience working with SAP Supply Chain or Manufacturing solutions. - Hands-on experience or strong exposure to SAP S/4HANA Production Planning and/or ePP/DS. - Foundational understanding of manufacturing business processes: - MRP Live - Production orders - BOMs and routings - Capacity planning - Experience working in discrete manufacturing environments (wire/cable, electronics, or similar industries preferred). - Ability to work in a fast-paced, project-based transformation environment. Preferred Qualifications - Exposure to SAP IBP (Demand, Supply, or S&OP). - Experience supporting at least one SAP S/4HANA implementation or rollout. - Knowledge of planning master data concepts (PDS, resources, planning versions). - Experience with intercompany planning or multi-plant manufacturing scenarios. - SAP certifications in SCM, PP, ePP/DS, or IBP are a plus. Benefits - Base compensation range of $101,400 - $152,100 plus benefits and additional incentives based on the level of the role. - Hybrid and remote work practices where feasible. - Benefits that could include: - Health/dental/vision - Long term/short term disability - Life insurance - HSA/FSA - Matching retirement plans - Paid vacation - Parental leave - Employee stock purchase plan - Paid leave for volunteer work in your community - Training opportunities - Professional talent management and succession planning - Corporate health well-being initiatives - Commitment to diversity, equity, inclusion, and sustainability