About The Position
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 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- Develop reproducible, well-documented code using Python and industry-standard ML frameworks (e.g., 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.
Benefits
- Competitive health plans (medical, dental, & vision insurance)
- PTO (starting at 20 days) & 12 company holidays
- 401(k) with company match
- Telemedicine service provided by ESO
- Savings accounts (FSA, HSA, DCA)
- Employee Assistance Program (EAP)
- Annual health and wellness reimbursement
- Peace of mind benefits such as life insurance, disability insurance, and worksite benefits
- Paid parental leave, new child program, & flexible parental return-to-work options
- Casual office environments and unlimited office snacks and drinks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
