Data Scientists 2024

Company Description

Bosch Global Software Technologies Private Limited is a wholly owned subsidiary of Robert Bosch GmbH, one of the world's foremost suppliers of technology and services, providing comprehensive Engineering, IT and Business Solutions. With over 22,700 associates, it is the largest software development center of Bosch outside of Germany, signifying its role as the technological powerhouse for Bosch in India and boasting a global footprint with presence in the US, Europe, and the Asia Pacific region.

Job Description

• Design and develop algorithms for various analyses using datasets.
• Research new ideas and possibilities to enhance the variety of analytics we perform per customer requirements.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
• Create custom data models and algorithms to apply to datasets.
• Use predictive modeling to enhance customer experiences, increase revenue generation, improve ad targeting, and achieve other business outcomes.
• Establish the company's A/B testing framework and examine model quality.
• Work with different functional teams to implement models and monitor outcomes.
• Design processes and tools to monitor and analyze model performance and data accuracy.

Required Skills

• Substantial knowledge in Digital signal processing concepts and Algorithm development.
• Strong analytical and problem-solving skills.
• Robust mathematical and statistical background.
• Experience in using statistical computer languages like R, Python, etc. to manipulate data and extract insights from large datasets.
• Profound knowledge in PySpark, IMPALA & Tableau.
• Experience in creating and working with data architectures.
• Good conventional SQL skills.
• In-depth knowledge about Data Storage technologies focusing on Apache Hadoop Cluster Systems.
• Applicable knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world pros and cons.
• A practical understanding of advanced statistical techniques and concepts (regression, attributes of distributions, statistical tests and their appropriate usage, etc.) and experience implementing them.
• Good communication and interpersonal skills, and the ability to independently solve problems.
• A quick learner who can adapt to changing requirements and provide solutions.
• Being an effective team player who is willing to accept challenges and responsibilities.

Qualifications Bachelor's or master's degree in Computer Science, Electronics, Electrical Engineering, Digital Signal Processing, or a similar discipline.

Qualifications

M.E/M.Tech

Additional Information

4+ years of experience