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 RESPONSIBILITIES Statistics Data Preparation Exploration Perform data cleaning transformation feature engineering and validation to prepare datasets for modeling Conduct Exploratory Data Analysis EDA to identify trends patterns anomalies and correlations Apply foundational statistical techniques such as hypothesis testing probability distributions regression analysis sampling methods and confidence intervals Assist in developing reproducible data workflows and ensuring data quality and integrity Data Visualization Reporting Create clear and insightful data visualizations using Python libraries matplotlib seaborn plotly or dashboard tools Summarize findings in reports and presentations for both technical and non-technical stakeholders Support the creation of visual stories for product metrics experiments and model performance SQL Data Retrieval Use SQL to query aggregate join and filter data from relational databases Collaborate with data platform teams to understand schemas and extract datasets efficiently Build and optimize queries for ad hoc analysis prototype features and model preparation Machine Learning Analytics Assist in developing supervised and unsupervised learning models such as classification regression clustering and time-series forecasting Support feature engineering hyperparameter tuning and model evaluation using standard metrics Document experiments and help improve model accuracy and reliability under guidance AI Generative AI Support Contribute to early-stage work using Large Language Models LLMs Generative AI and agent-based AI for automation and insights extraction Assist with prompt design API integration fine-tuning small models and testing prototypes Deep Learning Computer Vision Foundational Support Data Engineering ML Workflows Work with data engineers to understand data pipelines and cloud storage systems Assist in setting up notebooks scripts or light automation for ML workflows Follow best practices for version control documentation and reproducibility Collaboration Communication Partner with product engineering and business teams to gather requirements and deliver insights Desired Candidate Profile EDUCATION KNOWLEDGE Bachelor s or Master s degree in Data Science Computer Science Statistics Engineering Mathematics or related field QUALIFICATIONS EXPERIENCE 5 years of experience in machine learning deep learning natural language processing or applied AI Strong foundation in statistics probability and data analysis methods Good working knowledge of Python SQL and ML libraries such as pandas numpy scikit-learn and matplotlib Familiarity with EDA visualization best practices and basic ML model development Basic understanding of deep learning frameworks PyTorch or TensorFlow Strong analytical mindset attention to detail and willingness to learn 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 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 Unlimited contract chance Pleasant working environment fostering teamwork Open and dynamic company culture Extensive training initiatives and growth opportunities Competitive salary package Comprehensive benefits including Group insurance Hospitalization insurance Meal vouchers etc Convenient location at E40 and E403 motorway intersection Join a certified TOP EMPLOYER in a modern FACTORY OF THE FUTURE 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 Bangalore Karn taka 560076 India Posting City Bangalore Job Country India Travel Required None Requisition ID 146759 Workplace Type External Careers Page Information Technology

📌 Data Scientist Ii (Karnataka)
🏢 TE Connectivity
📍 Karnataka