Senior Data Scientist
New
E
ESO Data Technology Research
Remote, USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-7 years
- Required Skills
- PythonSQLPyTorchSnowflakeTensorflowscikit-learnMLOps
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.
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.
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