Data Scientist, Applied Science

Data Scientist, Applied Science Location: Sydney, Melbourne, Brisbane Department: Advanced Analytics About the Company At Halcyon Labs AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Halcyon Labs AI is the place for you. About the Role We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas . As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai’s proactive intelligence capabilities. You’ll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work. Responsibilities Model Development & Innovation: E valuate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform’s capabilities Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights Minimum Qualifications 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning) Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with data mining, data cleaning, and feature engineering Strong analytical and problem-solving abilities Excellent communication and collaboration skills Preferred Qualifications Master's or Ph.D.