Data Scientist

5 days ago

Singapore Futurex Technologies Full time

Key Responsibilities Model Development Design and conduct experiments to evaluate Synthetic Data Generation-SDG models (e.g., DDPM, ARF, Gaussian Copula). Investigate failure cases and propose new modeling strategies. Tune hyperparameters and refine architectures. Feature & Product Development Collaborate with SWE team to build ML-driven product features. Develop approaches for constraints handling, imputation strategies, and privacy metrics. Diagnostics & Debugging Work with users and engineers to diagnose training failures and poor outputs. Provide actionable fixes and communicate insights clearly. Documentation & Knowledge Sharing Write user‑facing documentation explaining models, hyperparameters, and metrics. Translate complex DS concepts into clear explanations. Collaboration Work closely with SWE team (Next.js, FastAPI, AWS) for integration. Participate in Agile rituals, code reviews, and design discussions. Required Skills & Qualifications Bachelor’s degree or higher in Computer Science, Data Science, or related field. 2–3 years of relevant experience. Strong foundation in ML: model development, experimentation, diagnostics. Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit‑learn). Ability to analyze model behavior and design experiments. Applied Research & Experimentation Ability to read and translate emerging research into practical prototypes. Software Engineering Working knowledge of backend development (FastAPI/Flask). Familiarity with cloud environments (AWS), Git, CI/CD. Ability to debug software‑level issues affecting ML workflows. Nice-to-Haves Experience with PETs, anonymization, synthetic data generation, or differential privacy. Familiarity with frontend workflows (Next.js/React). Prior experience in multi-disciplinary product teams. #J-18808-Ljbffr

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