Data Scientist

Direct message the job poster from Space Executive We’re looking for a data scientist who’s equally passionate about machine learning research and software engineering to join our client’s privacy and synthetic data team. Their mission is to build privacy-preserving data solutions that empower organisations to safely use and share data. One of their flagship products enables synthetic data generation (SDG) — a cutting‑edge privacy technology that allows users to generate realistic, privacy‑safe datasets for analytics and AI applications. This cutting‑edge application is in a rapid growth phase with exciting new features in the pipeline, including API integrations and scalable model enhancements. You’ll play a key role in advancing their machine learning engine and integrating it into production‑ready systems used nationwide. What You’ll Do Design and run experiments to evaluate emerging SDG models (e.g. DDPM, ARF, Gaussian Copula). Investigate model performance across data types, sizes, and distributions. Tune hyperparameters, refine architectures, and propose new modeling approaches. Feature & Product Development Collaborate with engineers to develop product features that rely on ML/DS capabilities (e.g. imputation, data constraints, preprocessing). Prototype and implement strategies for constraints handling, imputation, and privacy metrics. Work with users and engineers to diagnose and resolve model training issues, data integration challenges, and performance bottlenecks. Translate technical insights into clear, actionable solutions. Documentation & Knowledge Sharing Create clear, user‑friendly documentation explaining model choices, metrics, and tuning parameters. Communicate complex ML and privacy concepts to non‑technical stakeholders. Partner closely with backend engineers (FastAPI, AWS) and frontend teams (Next.js/React) to integrate ML components into scalable systems. Participate in Agile ceremonies, code reviews, and technical design discussions. Qualifications You should have a Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics, or a related field. A minimum of 3 years of hands‑on experience in data science, machine learning, or applied research. You should have a strong foundation in ML concepts and model experimentation, along with a high level of proficiency in Python and common ML frameworks (PyTorch, TensorFlow, scikit‑learn). Any experiences in diagnosing training issues and improving model performance and building and deploying ML systems via REST APIs (FastAPI, Flask, etc.) will be highly regarded. The ability to read, synthesise, and apply emerging research to real‑world prototypes is crucial too. Understanding of Git, CI/CD, and collaborative software practices, and AWS or any other cloud environments will be important. You should be a strong communicator who can bridge technical and non‑technical worlds, as well as collaborate and be comfortable in a fast‑paced Agile environment. What’s in it for you? Work on cutting‑edge privacy and data technologies with real‑world impact. Collaborate with a team of engineers and scientists building innovative, large‑scale data systems. Be part of a mission‑driven organisation committed to ethical AI and responsible data use. Seniority level Associate Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting, Software Development, and Technology, Information and Media Referrals increase your chances of interviewing at Space Executive by 2x Apply now and help shape the future of privacy‑preserving data science. #J-18808-Ljbffr