Data Scientist
Core
Transform complex and messy data into reliable statistical and machine learning models that drive business decisions and operational value.
Role type
Mid-level Machine Learning Data Scientist
Builds
Production-ready predictive models, statistical solutions, and decision-support narratives
Domain
General business analytics and machine learning
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, feature engineering, model validation, data visualization, reproducible code practices
Preferred skills
LLM and RAG implementation, cloud ML platforms (Azure/AWS/GCP/Databricks), model monitoring and drift detection, deep learning, distributed data platforms
Technologies
Python, SQL, pandas, Polars, scikit-learn, Matplotlib, Plotly, Power BI, Tableau, Git, MLflow
Responsibilities
Frame business problems as testable analytical or predictive questions; prepare and explore structured/unstructured data; develop and validate supervised/unsupervised models; translate findings into clear recommendations for stakeholders; collaborate with engineering teams on production deployment; monitor model performance and recommend recalibration or retirement
Seniority
Mid-level, hands-on IC