Data Scientist
Bosch
Bangalore Urban, Karnataka, India
Job Description Experience in creating advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify and create critical insights Research, develop and apply data science, machine learning, and statistical methods to large data sets. Mine data using modern tools and programming languages 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 state-of-the-art 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 well-defined 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 4 - 6 years of experience working as a data scientist Extensive know-how of Python and R, experience in object-oriented 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 data-pipeline 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 & cross-functional collaboration skills
