Join Innovation Hub as a Data Scientist (with Software Engineering Skills)!

Are you passionate about pushing the boundaries of data privacy and cutting-edge machine learning? Do you want to make a tangible impact on national data security and enable smarter, safer government services? If so, we want you to be part of our dynamic team.

What You’ll Do:

• Innovate & Lead: Develop and optimize groundbreaking SDG models using state-of-the-art techniques like DDPM, ARF, and Gaussian Copula.
• Build & Collaborate: Work closely with software engineers to create powerful features such as imputation, constraint handling, and privacy metrics that make the platform smarter and more reliable.
• Troubleshoot & Improve: Diagnose technical challenges, improve model performance, and ensure seamless integration—delivering real impact to government users.
• Share & Educate: Create clear, accessible documentation and insights to help users understand complex models and privacy concepts.
• Influence & Shape: Partner with diverse teams to drive innovative solutions that serve the entire government ecosystem.

Who You Are:

• A data scientist with a flair for applied machine learning and a solid foundation in software engineering.
• Experienced in modeling, experimentation, and model evaluation, especially with privacy-focused algorithms.
• Passionate about solving complex problems, debugging, and delivering practical solutions.
• An excellent communicator, capable of translating technical insights for diverse audiences.
• Driven by a desire to make a meaningful impact on national data privacy and security.

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We regret only short-listed candidates will be notified.