About this role
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 We are looking for a Senior Data Scientist with a strong foundation in data science, machine learning, and AI who has a proven record of delivering high-visibility, high-ROI solutions to complex business problems. In this role, you will lead a small team of data scientists, set the technical direction, and own end-to-end delivery of impactful AI/ML solutions. You will spend most of your time enabling the team through delegation, coaching, and review, while stepping in hands-on for critical or highly complex work when needed. This role suits someone who has been a standout individual contributor and is now ready to multiply their impact through people. What your background should look like: Experience 9–10 years of relevant experience in data science, machine learning, and AI, with a track record of owning and delivering end-to-end solutions. Demonstrated record as a strong individual contributor who delivered high-visibility, complex solutions with measurable ROI. Prior experience leading or mentoring a team (formal or informal), with exposure to people management and leadership responsibilities. Education Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (Bachelor's with exceptional experience may be considered). Technical Skills Programming: Expert-level Python ; strong SQL; working knowledge of software engineering practices (Git, testing, code review, CI/CD). Machine Learning & Statistics: Deep understanding of supervised/unsupervised learning, time-series forecasting, experimental design, hypothesis testing, causal inference, and optimization. Deep Learning & AI: Hands-on experience with frameworks such as PyTorch, TensorFlow, or equivalent; experience with NLP, computer vision, or GenAI/LLMs (prompting, RAG, fine-tuning, evaluation) is strongly preferred. Data & Platforms: Experience with large-scale data processing (Spark or equivalent) and cloud platforms (AWS) and their ML services. MLOps: Experience deploying and monitoring models in production (e.g., MLflow, Docker, Kubernetes, model registries, pipelines). Visualization & Communication: Proficiency with tools such as Streamlit or equivalent; strong data storytelling skills. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: 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! • Competitive Salary Package • Performance-Based Bonus Plans • Health and Wellness Incentives • Employee Stock Purchase Program • Community Outreach Programs / Charity Events • Employee Resource Group IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD 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. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.