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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Randstad - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,551.0 - $158,328.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Code Review, Data Cleansing, Information Leak Prevention, Python (Programming Language), Machine Learning, Standard Sql, Retrieval-Augmented Generation, Large Language Models, Model Validation, Information Technology, Machine Learning Operations, Software Library - **Published:** September 5, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pho62kn7vk ## About the Role * Substantial hands-on experience delivering data science projects end-to-end, from problem definition and data preparation through to modelling, validation, deployment and monitoring in production. * Strong Python (or R) and SQL skills, with experience using core data science and machine learning libraries * Experience with LLM-based solutions such as RAG, agents or structured extraction, or strong classical ML depth and a demonstrated interest in developing this capability. * Sound judgement in model validation, including selecting appropriate performance measures and identifying risks such as data leakage, overfitting and class imbalance * Experience working in a cloud environment (Azure preferred) and familiarity with MLOps practices * Strong capability working with large, complex or incomplete datasets * Ability to explain technical concepts, evidence, limitations and uncertainty clearly to non-technical audiences * Experience mentoring others or lifting technical practice within a team * Relevant tertiary qualification in Data Science, Statistics, Mathematics, Computer Science or a related discipline, or equivalent practical experience, * Relevant tertiary qualification in Data Science * Statistics * Mathematics * Computer Science or a related discipline * or equivalent practical experience education Bachelor Degree&ICT ## Description As a Senior Data Scientist, you'll apply advanced analytics, machine learning and AI to complex regulatory and organisational problems. You'll work on things like risk-targeting projects that support prioritisation of regulatory activity, and AI agents that support frontline and regulatory work. Working alongside data engineers, analysts and business stakeholders, you'll design and deliver models and AI products that inform decision-making, improve our understanding of risk and harm, and support better outcomes for New Zealand workplaces. What You'll Do/ Ko tōu ake mahi * Design, build and validate advanced analytical models and AI solutions * Apply statistical, machine learning and AI techniques to complex problems and datasets, including LLM-based approaches such as retrieval-augmented generation, agents and structured extraction. * Design evaluation approaches for model and AI outputs, including test sets, human review and appropriate performance measures * Support the transition of models and AI products into operational use, and monitor their performance once deployed * Partner with data engineers, analysts and other specialists to deliver end-to-end solutions * Set and lift technical practice across the team, including code review, reproducibility, documentation and MLOps * Mentor and support less experienced data scientists * Translate analytical findings into practical insights, and clearly communicate what models can and cannot tell decision-makers, AI can be a helpful tool when preparing your application, but what matters most to us is you. Please ensure your CV, cover letter, and responses reflect your own skills, experiences, and perspective. We want to hear your real story - your passion, your personality, and what makes you unique. Don't let AI do all the talking - let it support you, not replace you. To be considered for this position, you must have the legal right to live and work in New Zealand. Learn more about working with us :https://www.worksafe.govt.nz/about-us/careers/ This vacancy has been established as part of changes to WorkSafe's organisational structure after a review of WorkSafe's operating model identified opportunities to improve role clarity, ways of working and organisational effectiveness. As part of these changes, WorkSafe has established a number of new roles to ensure we are well placed to meet expectations now and in the future. Kaimahi whose roles were affected by the structure change will be given preference for all vacancies and will be considered in the first instance. ## Related Videos - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Are Code Reviews Worth It? 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