Data Scientist

Company Description

Bosch Global Software Technologies Private Limited is a wholly-owned subsidiary of Robert Bosch GmbH, one of the world's most preeminent suppliers of technology and services. The company provides comprehensive Engineering, IT and Business Solutions. Boasting a workforce of over 22,700 associates, it serves as Bosch's largest software development center outside of Germany. This demonstrates its status as Bosch's technological powerhouse in India, with a global presence extending across the US, Europe, and the Asia-Pacific region.

Job Description

• Experience in devising advanced statistical methods. Conduct in-depth data mining and analysis, employing statistical techniques as necessary, related to clients' discovery and viewing experiences to generate and develop crucial insights.
• Develop, research, and employ data science, machine learning, and statistical techniques on large datasets. Extract data using contemporary tools and programming languages.
• Experience in crafting statistical models and/or optimization frameworks for enhancing processes/products/profits.
• Translate analytical insights into actionable, concrete recommendations for business or product enhancement.
• Create and present proofs of concept using cutting-edge algorithms to demonstrate the value of our AI and ML solutions.
• Work closely with digital leaders throughout the project lifecycle. Ensure data capture is accurate, analytics needs are clearly defined from the outset, and manage the analytic requirements.
• Must have independently managed a project on a technical level and have experience converting ideas into practical designs.
• Maintain expertise within the domain of data science by staying current with technology and trend shifts.

Qualifications

B.E/B.Tech

Additional Information

• 4 - 6 years of experience working as a data scientist.
• Profound knowledge of Python and R, experience in object-oriented programming languages with high code quality (Clean Code). Python environments, Jupyter notebooks.
• Implementation of Exploratory Data Analysis and understanding of statistical concepts.
• Strong understanding of Feature Engineering, Feature Selection.
• Proficient with Python libraries such as numpy, pandas, sklearn, pytorch, keras, scipy.
• Track record in machine learning, neural networks, pattern analysis, time series forecasting, data analysis as well as data-pipeline technologies (e.g., Kubernetes, Docker, NoSQL-Databases, Workflow-Engine, Spark, Hadoop.)
• Sound understanding of statistics; knowledge of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial.
• Excellent communication, presentation & cross-functional collaboration skills

For more information about Bosch Global Business Services,