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An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.
Job Description
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
Roles & Responsibility:
- Analyze Supply Chain KPIs to identify trends, risks, opportunities and root causes.
- Design complex and optimized SQL solutions across large and multiple data sources.
- Build scalable datasets and analytical solutions using Databricks, SQL, Python and enterprise data platforms.
- Build end-to-end analytical applications, including data, business logic, backend/API and user interface.
- Develop rapid prototypes and MVPs for new Analytics, AI and Supply Chain ideas.
- Design and develop Machine Learning solutions for forecasting, prediction, anomaly detection and optimization.
- Build GenAI/LLM solutions using prompt engineering, RAG, APIs and enterprise data.
- Develop prescriptive solutions that recommend actions based on business conditions and constraints.
- Translate ambiguous business problems into structured analytical and technical solutions.
- Work with complex and fragmented enterprise data from SAP/ERP and other operational systems.
- Develop executive-level insights and recommendations for business decision-making.
- Own solutions from problem definition through design, development, testing, deployment and value realization.
- Work with IT and Data Engineering teams to transition MVPs into scalable production solutions.
- Continuously evaluate emerging AI, ML and analytics technologies for Supply Chain applications.
Desired Candidate Profile:
Demonstrated experience delivering Analytics/AI solutions from business problem through production deployment.
- Strong ability to design complex SQL queries and work with large, complex and multi-source datasets.
- Hands-on experience with Databricks, Spark/PySpark, Delta Lake and Lakehouse architecture preferred.
- Strong hands-on experience developing Machine Learning and Data Science solutions using Python.
- Experience with regression, classification, clustering, forecasting, anomaly detection and optimization techniques.
- Experience with feature engineering, model training, validation, evaluation and explainability.
- Experience developing GenAI/LLM solutions using prompt engineering, RAG, APIs and structured outputs.
- Experience building data and AI applications using Python-based application frameworks.
- Experience developing and integrating REST APIs, backend logic and database connections.
- Understanding of AI/ML deployment, monitoring, MLOps and productionization concepts.
- Strong understanding of end-to-end Supply Chain processes, constraints and performance drivers.
- Ability to translate Supply Chain processes into analytical, statistical and optimization logic.
- Experience with demand, supply, inventory, safety stock, MOQ, lead time, BOM and service-level analytics.
- Experience integrating data from SAP/ERP, CRM, WMS/TMS and other enterprise systems.
- Strong understanding of data quality, governance, security, reconciliation and lineage.
- Ability to independently troubleshoot complex data, application and model-related problems.
- Ability to convert ambiguous business challenges into structured solutions, user stories and technical requirements.
Experience managing analytics and AI projects end-to-end from ideation through deployment and adoption.
- Strong understanding of end-to-end Supply Chain processes and KPIs.
- Strong analytical, technical and problem-solving capabilities.
- Strong SQL, Python, Data Science and AI/ML capabilities.
- Strong technical understanding of Databricks and modern data architectures.
- Ability to independently design and build complex analytical and AI solutions.
- Ability to rapidly convert ideas into working prototypes and MVPs.
- Strong consulting mindset with focus on measurable business value.
- Strong stakeholder management and communication skills.
- Ability to simplify complex technical concepts for business leaders.
- Ability to work independently with limited supervision in a global environment.
- Knowledge of AI governance, data privacy and responsible AI practices.
Strong curiosity and ability to quickly learn new technologies and business domains.
Advanced qualification or certification in Data Science, AI/ML, Analytics, Cloud or Supply Chain is an advantage.
Competencies
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
- Performance-Based Bonus Plans
- Health and Wellness Incentives
- Employee Stock Purchase Program
- Community Outreach Programs / Charity Events
- Employee Resource Group
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Skills
Advanced AnalyticsBomBusiness IntelligenceArchitectureAi SolutionsApisArtificial IntelligenceAiAdvanced AnalyticsArtificial IntelligenceData AnalyticsPythonData PrivacyData ScienceErpMachine LearningAi/mlPrompt EngineeringAnalyticsAiMlSqlLlmGenaiRagMlopsDatabricksModel TrainingFeature EngineeringAnalystIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
TE Connectivity (TE) is a global leader in connectivity solutions, empowering innovations in various industries. With a robust portfolio spanning connectors, sensors, and electronic components, TE enables advancements in automotive, aerospace, healthcare, and more. TE Connectivity Careers offer diverse opportunities for professionals to thrive in a dynamic environment, fostering growth and innovation. As a trusted partner, TE fosters collaboration and ingenuity, driving solutions that shape the future. Join TE Connectivity Careers to embark on a rewarding journey, contributing to cutting-edge technologies and making a meaningful impact worldwide.
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