ESO
Technology
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at ESO. Skills: Machine learning, Data science, ML frameworks, Cloud platforms. Design machine learning models. Develop machine learning models”
What You'll Achieve.
Drive business outcomes
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
5-7 years professional experience, Python proficiency, ML model development experience, MLOps tools experience, SQL proficiency, Statistical modelling knowledge
Nice to Have
Experience deploying ML models using Azure Machine Learning, Familiarity with Snowflake
What You'll Do.
Design machine learning models
Develop machine learning models
Validate machine learning models
Conduct exploratory data analysis
Perform feature engineering
Perform model selection
Perform hyperparameter tuning
Implement statistical models
Implement supervised algorithms
Implement unsupervised algorithms
Implement time series forecasting
Develop reproducible code
Develop documented code
Translate business problems
Contribute to model operationalization
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Research teams; Product teams; Clinical subject matter experts
Communication Scope
Clear visualizations; Presentations
Full Job Description
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. 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. Who You Are - The Essentials 5-7 years of professional experience developing machine learning and data science solut
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