About ESO ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. We pioneer innovative, user-friendly software to meet the changing needs of today’s EMS agencies, fire departments, and hospitals. How You’ll Support Our Mission We are seeking a highly motivated and experienced Senior Data Scientist to join our Data Platform team.

In this role, you will contribute to the design, development, and deployment of machine learning models and advanced analytics solutions that power our products and drive meaningful business outcomes. You will work closely with our engineering and research teams, collaborating on innovative projects that leverage modern ML frameworks, robust data pipelines, and scalable cloud platforms. What You’ll Be Doing - The Day to Day Design, develop, and validate machine learning models for a variety of prediction, classification, and optimization tasks.

Collaborate with data engineers, product teams, researchers, and clinical subject matter experts to source, clean, and transform large, complex datasets for modelling and analysis. Conduct exploratory data analysis, feature engineering, model selection, and hyperparameter tuning using modern ML libraries. Implement and evaluate statistical models, supervised/unsupervised algorithms, and time series forecasting methods.

, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow). Communicate findings and insights to both technical and non-technical stakeholders through clear visualizations and presentations. Translate business problems into machine learning solutions and contribute to model operationalization strategies.

Stay current with advancements in machine learning, AI, and data science practices.

Who You Are

- The Essentials 5-7 years of professional experience developing machine learning and data science solutions in production environments. Strong proficiency in Python, including core data science libraries: pandas, numpy, scikit-learn, matplotlib, polars, etc. Experience with ML model development, evaluation, and deployment workflows.

Experience with MLOps tools and practices. Hands-on experience with SQL and working with large-scale relational datasets. Solid understanding of statistical modelling, data mining, and algorithm development.

Experience working in cross-functional teams and translating business needs into technical solutions. Excellent communication, problem-solving, and analytical skills.

- The Desirables (It’s a plus if you have): Experience deploying ML models using Azure Machine Learning or other cloud-native ML platforms. Familiarity with Snowflake for data access, feature storage, or model deployment integration.

Benefits

to promote health and financial security for our employees and their families.

such as life insurance, disability insurance, and worksite

Paid parental leave, new child program, flexible parental return-to-work options Casual office environments and unlimited office snacks and drinks About ESO ESO is a fast-paced, growing data, technology, and research company passionate about improving community health and safety through the power of data. We pioneer innovative, user-friendly software to meet the changing needs of today’s EMS agencies, fire departments, and hospitals. We’re small enough to be nimble and fun, but big enough to be a great place to work.

Perks

ESO offers a comprehensive suite of