Data Scientist - Bengaluru, India - Bosch Group

Bosch Group

Verified Company

Bengaluru, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

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 22,700 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:

Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits
Translate analytic insights into concrete, actionable recommendations for business or product improvement
Create and deliver proof of concepts using stateoftheart algorithms to demonstrate the value of our AI and ML solutions.
Partner closely with digital leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are welldefined up front and coordinate the analytic needs
Should have independently handled a project technically and experienced in turning ideas into actionable designs
Maintain proficiency within the data science domain by keeping up with technology and trend shifts.

Qualifications:

B.E/B.Tech

Additional Information
years of experience working as a data scientist

Extensive knowhow of Python and R, experience in objectoriented programming languages with high code quality (Clean Code). Python environments, Jupyter notebooks.
Exploratory Data Analysis implementation and statistical concepts.
Solid understanding of Feature Engineering, Feature Selection.
Python libraries such as numpy, pandas, sklearn, pytorch, keras, scipy.
Proven track record in machine learning, neural networks, pattern analysis, time series forecasting, data analysis as well as datapipeline technologies (e.g., Kubernetes, Docker, NoSQL-Databases, Workflow-Engine, Spark, Hadoop.)
Solid understanding of statistics; knowledge of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial
Excellent communication, presentation & crossfunctional collaboration skills

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