Data Scientist

About the job

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, data transformation, validation, reconciliation, feature engineering, and quality assurance using Python

- Apply analytical and 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

- Develop efficient and maintainable Python solutions for processing, transforming, validating, and reconciling large datasets, including handling millions of records

- Implement deterministic business logic, configurable validation rules, error handling, and data-quality checks for complex real-world datasets Qualifications B.E / B.Tech or equivalent technical qualification Strong programming fundamentals in Python and experience working with structured and large-scale datasets. Additional Information 3 to 6 years

Qualifications B.E

Additional Information 3 to 6 years