Data Scientist, D&T - West Pharmaceutical Services - Bangalore/Bengaluru
Job Description
Job Requirements
We are looking for a Data Scientist to join our team at West Pharmaceutical Services. The ideal candidate will have a strong background in data science, analytics, and machine learning. You will be responsible for developing and deploying advanced analytics solutions to support our business objectives. You will be expected to work with stakeholders to identify opportunities for data-driven decision making, develop models to address those opportunities, and deploy those models in production.
You should have a strong understanding of data science principles and techniques, including machine learning, predictive analytics, and natural language processing. You should also have experience with data visualization tools and techniques. You should be comfortable working with large datasets and have experience with data engineering and ETL processes.
The successful candidate will have excellent communication and problem-solving skills and be able to work independently and collaboratively.
FAQs:
Q: What qualifications are required for this position?
A: The ideal candidate should have a degree in a quantitative field such as mathematics, statistics, computer science, or engineering. Experience with data science, analytics, and machine learning is also required.
Q: What experience do I need to have?
A: You should have experience with data science principles and techniques, including machine learning, predictive analytics, and natural language processing. You should also have experience with data visualization tools and techniques. You should be comfortable working with large datasets and have experience with data engineering and ETL processes.
Q: What are the responsibilities of this position?
A: You will be responsible for developing and deploying advanced analytics solutions to support our business objectives. You will be expected to work with stakeholders to identify opportunities for data-driven decision making, develop models to address those opportunities, and deploy those models in production.
