FAQs
What is the job title for this position?
The job title is BTech Data Science or Data Analytics Specialization at SRM University.
What are the primary responsibilities of this role?
The primary responsibilities include performing proof-of-concept projects, engaging in product design, building prototypes, creating methods for obtaining data, interpreting mass quantities of data, and developing and maintaining machine learning models.
What qualifications are required for this position?
A good undergraduate or Master's degree in a mathematical or technical discipline such as Mathematics, Economics, Computer Science, Engineering, or MBA is required.
How many years of experience is necessary for this role?
At least 1 year of experience with predictive modeling and statistical analysis techniques in a business environment is necessary, although exceptional recent graduates will also be considered.
What programming languages should candidates be familiar with?
Candidates should be strong in R or Python programming or any other open-source programming language.
Is experience in Natural Language Processing (NLP) required?
While not required, having a strong understanding and exposure to Natural Language Processing (NLP) and related text data mining tasks is considered a plus.
What types of projects might candidates work on?
Candidates may work on proof-of-concept projects, product designs, and building prototypes and production models to address real business problems.
Are there opportunities for professional development in this role?
Yes, there are opportunities to proactively seek projects that improve workflows and services provided to customers in the healthcare industry.
What is the company culture like at Philips?
Philips promotes collaboration, believing that teams are better together than apart, and emphasizes meaningful work focused on improving lives through health technology.
Will I need to work onsite, and what are the expectations regarding office attendance?
Yes, this is an office role that requires full-time presence at the company’s facilities, with teams expected to work in-person at least three days a week.