> Markdown version of [/jobs/ext/1299620-associate-data-scientist](https://www.wearedevelopers.com/jobs/ext/1299620-associate-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Scientist - **Company:** Culture Amp - **Location:** Melbourne, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Backup Devices, Databases, Continuous Delivery, Data Visualization, Python (Programming Language), PostgreSQL, Machine Learning, SQL Databases, Large Language Models, Model Validation, Matplotlib, Information Technology, Plotly, Streamlit Framework, Software Version Control, Data Pipelines - **Published:** July 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p51o0v9bcl ## About the Role * Experience with classical data science, statistics, model training, and data exploration. * Experience working with LLMs, especially evaluation, metrics, and agentic workflows. * Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres. * Experience with data science tooling - Python and associated libraries (pandas, numpy etc) * Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. * Experience in data visualization tools such as plotly, seaborn, streamlit. * Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. * Understanding of common software practices like version control, continuous deployment, and testing. * Formal training in either Data Science, Applied Machine Learning, Informatics, Mathematics, Statistics, Engineering, or Computer Science. You are: * Curious and have a learning mindset. * A pragmatic, critical thinker, asking the right questions, and backing up assertions with logic and data. * Able to make the complex simple, to persuasively communicate with a range of stakeholders. * Excited about making data and AI products that have real impact in people's lives. * Someone who shares our passion for making a better world of work. * Not afraid to learn through making mistakes and asking for help. ## Description Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views to positively impact and support the delivery of value for our customers. You will: * Work with engineers and other data scientists to develop, test and deploy AI powered features. * Solve real world challenges with an ethical and human centric approach. * Develop robust data pipelines, LLM based enrichment processes, and evaluation systems. * Participate in broader conversations and skills sharing with engineers, people scientists and data scientists. * Stay up to date with current research, literature and provider offerings to enable the pragmatic application to Culture Amps customer needs. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)