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.
- Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics, or related fields.
- 2+ years of relevant experience in data science or ML roles.
- Proficient in Python and frameworks like PyTorch, TensorFlow, or scikit‑learn.
- Experienced with backend development and cloud platforms (AWS preferred).
- Familiar with version control (Git), CI/CD pipelines, and collaborative coding.
- Nice‑to‑have: experience with privacy‑enhancing tech, synthetic data, differential privacy, or frontend frameworks (Next.js/React).
By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.