Data Scientist

Job description

Company Description - ------------------ **Bosch Global Software Technologies Private Limited** is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it's the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description - -------------- \*\*Key Responsibilities:\*\* * Collaborate with stakeholders across business units to identify data-driven opportunities and develop innovative business solutions * Analyze complex datasets using advanced statistical methods to uncover hidden patterns and generate actionable insights * Design and develop customized machine learning and AI algorithms tailored to specific customer requirements * Create scalable, reusable AI/ML/statistical models that can be deployed across multiple business units with minimal customization * Translate analytical findings into clear, actionable recommendations for business and product improvement * Partner with product and engineering teams throughout the project lifecycle to ensure data requirements are well-defined and properly captured * Lead product and project initiatives independently while providing technical guidance and mentorship to team members * Develop and maintain interactive dashboards using tools such as Power BI to communicate algorithm results and insights to stakeholders * Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling \*\*Technical Responsibilities:\*\* * Perform comprehensive data exploration, preprocessing, feature engineering, and quality assurance using Python * Apply advanced machine learning algorithms including regression, classification, clustering, support vector machines, decision trees, random forests, and neural networks * Implement specialized analytics techniques such as design of experiments, forecasting, segmentation, and uncertainty analysis * Develop and deploy APIs and web applications using Flask or Django frameworks * Deploy models to cloud platforms such as Azure or AWS with containerization using Docker and CI/CD pipelines Qualifications - ------------- B.E Additional Information - --------------------- 3 to 6 years