Data Scientist for Production Optimization
4 days ago
We are seeking a highly skilled Data Scientist to join our team in Coimbatore, Tamil Nadu. The successful candidate will work closely with our Japanese client to develop machine learning algorithms for production optimization and fault prediction.
About the RoleThis is a full-time position requiring a strong background in mathematics, particularly linear algebra, calculus, and statistics. The ideal candidate will have proficiency in Python programming and experience in machine learning and deep learning frameworks.
Key Responsibilities- Develop and implement machine learning algorithms for fault prediction and production optimization.
- Analyze and process large datasets using Python for model building, testing, and tuning.
- Collaborate with team members and Japanese counterparts to understand project requirements and deliver results.
- Maintain strong fundamentals in mathematics to support algorithm development.
To be successful in this role, you should have:
- Proficiency in Python programming.
- Experience in machine learning and deep learning frameworks.
- Strong understanding of mathematics principles (linear algebra, calculus, and statistics).
- Ability to select and implement appropriate deep learning algorithms.
While not mandatory, it's beneficial to have experience working in Japanese companies or familiarity with Japanese work culture. Additionally, expertise in deep learning algorithm principles and model optimization can be advantageous.
Why Choose UsAs a Data Scientist at iTokyo Academy, you will have the opportunity to work on cutting-edge machine learning projects with real-world impact. You will also gain experience working with Japanese clients and exposure to their innovative work culture.
What We OfferIn return for your hard work and dedication, we offer a competitive salary range of ₹900,000 - ₹1,200,000 per annum, depending on your experience and qualifications. This includes benefits such as a hybrid work model after serving 1 year, opportunities for professional growth, and a supportive team environment.
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