LEAD DATA SCIENCE Posting Start Date: 1/30/26 **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 Description: **Job Overview** Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. **Roles & Responsibility:** **Technical Strategy & Solution Ownership** + Define and drive the technical direction for ML, Deep Learning, LLM, and Generative AI initiatives aligned with business goals. + Own end‑to‑end solution design decisions, including architecture, modeling approach, and deployment strategy. + Evaluate emerging AI technologies and recommend pragmatic adoption based on feasibility, scalability, risk, and ROI. + Act as a technical authority on trade‑offs between model complexity, performance, cost, and interpretability. **Advanced Modeling & Applied AI** + Design, build, evaluate, and deploy: + Supervised and unsupervised ML models + Deep learning models (CNNs, RNNs, Transformers, transfer learning) + NLP and LLM‑based solutions (RAG, embeddings, GenAI workflows, agent‑based systems where applicable) + Apply strong fundamentals in statistics, experimentation, and validation to ensure robustness and reliability. + Demonstrate judgment in choosing simple vs. complex approaches based on business context. **End‑to‑End ML & MLOps** + Architect and implement production‑grade ML pipelines, including: + Data ingestion and preprocessing + Feature engineering and reuse + Model training, validation, deployment, and serving + Monitoring, drift detection, and automated retraining + Partner with Data Engineering and Platform teams to build scalable, cloud‑native ML systems (AWS / Azure / GCP). + Ensure best practices around model versioning, observability, lineage, and reproducibility. + Adhere to data governance, security, privacy, and compliance standards. **Data Modeling & Data Architecture** + Design and review logical and physical data models to support analytics and ML workloads. + Influence data architecture decisions (e.g., lakehouse, feature stores, semantic layers) to ensure: + Data quality + Performance + Reusability + Collaborate closely with Data Engineering teams on schema design and data readiness for ML. **Databricks & Lakehouse Expertise** + Hands‑on experience with Databricks and Lakehouse architectures, including: + Delta Lake + Auto Loader & Pipelines + Feature Store & Unity Catalog + MLflow Tracking, Model Registry, and Model Serving + Optimize ML and data workloads for performance, scalability, and cost efficiency. + Define best practices for collaborative development using notebooks, repos, and CI/CD workflows. **Application Development & Model Consumption** + Build ML‑powered applications and tools to expose insights and models to users and downstream systems. + Experience developing applications using: + Django / FastAPI or similar Python frameworks + Streamlit / Dash for rapid analytical interfaces + Design and implement REST APIs for model inference and integration. + Partner with Engineering teams to ensure applications meet performance, security, and deployment standards. **Desired Candidate Profile:** **EDUCATION/KNOWLEDGE** Master’s in computer science, Data Science, Machine Learning, Statistics, or related field. **Required Qualifications** Experience & Background + 12–15 years of experience in Data Science, Applied ML, or AI‑driven product development. + Proven track record of owning largescale, business‑critical ML/AI solutions. + Experience working in environments with high ambiguity and cross‑functional dependencies. Technical Skills + Strong expertise in: + Machine learning and statistical modeling + Deep learning and neural architecture + NLP, LLMs, and Generative AI systems + Proficiency in: + Python (mandatory) + SQL (mandatory) + TensorFlow, PyTorch, and modern ML frameworks + Experience deploying and operating models in production. Data & ML Platforms + Strong hands‑on experience with Databricks, including: + Delta Lake, Feature Store, MLflow + Model Registry and Model Serving **EDUCATION/KNOWLEDGE** Master’s in computer science, Data Science, Machine Learning, Statistics, or related field. **Required Qualifications** Experience & Background + 12–15 years of experience in Data Science, Applied ML, or AI‑driven product development. + Proven track record of owning largescale, business‑critical ML/AI solutions. + Experience working in environments with high ambiguity and cross‑functional dependencies. Technical Skills + Strong expertise in: + Machine learning and statistical modeling + Deep learning and neural architecture + NLP, LLMs, and Generative AI systems + Proficiency in: + Python (mandatory) + SQL (mandatory) + TensorFlow, PyTorch, and modern ML frameworks + Experience deploying and operating models in production. Data & ML Platforms + Strong hands‑on experience with Databricks, including: + Delta Lake, Feature Store, MLflow + Model Registry and Model Serving **Competencies** Values: Integrity, Accountability, Inclusion, Innovation, Teamwork **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 (https://www.linkedin.com/company/te-connectivity/) ,Facebook (https://www.facebook.com/teconnectivity/) ,WeChat, (http://www.te.com.cn/chn-zh/policies-agreements/wechat.html) Instagram andX (formerly Twitter). (https://twitter.com/TEConnectivity) **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. **Job Locations:** Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road Bangalore, Karnātaka 560076 India Posting City: Bangalore Job Country: India Travel Required: None Requisition ID: 146753 Workplace Type: External Careers Page: Information Technology TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.