This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Data Scientist at Eucalyptus, you’ll use data, experimentation, and machine learning to help build the next generation of personalised healthcare experiences. You’ll work closely with data engineers, ML engineers, and product teams to design, test, and evaluate data-driven solutions that make a real impact on patient outcomes. In this role, you’ll focus on applied modelling, production AI systems, analytical thinking, and experimentation. You will help translate ideas into prototypes and production-ready insights. You’ll contribute to the full data science lifecycle: from exploring datasets and defining features, to evaluating models and interpreting results for decision-makers.
Job Responsibility:
Develop and validate models: Build, test, and iterate on statistical and machine learning models to support product features and decision-making
Collaborate with engineers: Work with data and ML engineers to move experiments into production and ensure reliability and interpretability
Explore and analyse data: Conduct exploratory analyses to identify patterns, generate hypotheses, and shape model or product directions
Design and measure experiments: Partner with product teams to run A/B tests or pilots, and translate results into actionable insights
Communicate findings: Present results clearly to technical and non-technical audiences, connecting data science outcomes to user and business impact
Requirements:
2–4 years of experience in data science, applied analytics, or machine learning
Strong Python and SQL skills, with experience using data science libraries such as pandas, scikit-learn, and PyTorch
Experience exploring and cleaning large datasets, and understanding how data quality impacts modelling
A working knowledge of ML concepts, such as feature engineering, cross-validation, and model evaluation
Familiarity with cloud-based data tools (e.g. BigQuery, Vertex AI, or similar)
Excellent communication skills, with the ability to explain technical concepts clearly to product, clinical, and engineering stakeholders
A growth mindset - curious, collaborative, and motivated to learn from feedback and experimentation
What we offer:
Equity for everyone means you share in our success
Experience catered wellness talks, exercise classes, whoops to track your wellbeing, free barista coffees, funded social clubs, and quarterly rooftop parties
Benefit from parental and miscarriage leave, to health, professional development, and personal days, Whoop membership, and our Employee Assistance Program