- Conduct applied research and experimentation in privacy-enhancing technologies (PETs) such as anonymisation, synthetic data generation, and differential privacy.
- Design and implement scalable, data-driven solutions using machine learning and AI.
- Develop proof-of-concepts and evaluate the real-world applicability of emerging privacy technologies.
- Collaborate with cross-functional teams including data engineers, software developers, and product managers to design end-to-end data solutions.
- Partner with stakeholders to understand data privacy challenges and recommend suitable technical approaches.
- Support deployment, testing, and optimisation of privacy-focused systems and tools.
- Stay updated with recent advancements in AI, ML, and data privacy research and translate them into practical implementations.
- Bachelor?s degree or higher in Computer Science, Data Science, or a related discipline.
- 2?3 years of hands-on experience in data science, machine learning, or applied research.
- Proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Strong analytical and problem-solving skills with experience in model development and experimentation.
- Ability to read and evaluate research papers and apply findings to practical solutions.
- Excellent communication skills to explain technical concepts clearly to both technical and non-technical audiences.
- Collaborative mindset and ability to work effectively in multidisciplinary, Agile environments.
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Data Scientist - Singapore - Epergne Solutions
Description
Job Role: - Data Scientist
Job Location: - Singapore
Experience: - 2-3 Years
Roles and Responsibilities:-
Data Scientist/Senior Data Scientist
Only for registered members Singapore
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Data Scientist/Senior Data Scientist
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Data Scientist
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