Data Scientistat Bosch

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

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

B.E

3 to 6 years

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