Senior Data Scientist
Core
Design and deliver data-driven solutions by translating complex business problems into analytical models and machine learning solutions that generate measurable business impact.
Role type
Senior IC data scientist (ML & analytics)
Builds
Predictive models, optimization solutions, and data-driven decision-making frameworks
Domain
Technology / Data Science / Machine Learning
Deliverable
production ML models
Required skills
Machine learning (regression, classification, clustering, time series), statistical analysis and modeling, Python (pandas, scikit-learn, NumPy, PySpark), SQL, end-to-end ML lifecycle management, model performance tuning and validation, feature engineering, MLOps practices, data visualization
Preferred skills
Azure Machine Learning, MLOps frameworks, experiment tracking and model monitoring, CI/CD for ML pipelines, experience in regulated environments, client-facing engagements
Technologies
Azure ML, Azure Synapse, Azure Blob Storage / ADLS, Azure DevOps, GitHub, Power BI, Miro, Figma
Responsibilities
Translate business problems into analytical solutions; design, develop, and deploy machine learning models; apply statistical methods and experimentation techniques; conduct exploratory data analysis; engineer features and prepare datasets; evaluate and optimize models; ensure model explainability; design and implement MLOps practices; collaborate with data engineers to scale datasets; present insights through storytelling and visualization; contribute to analytics solution design; engage with stakeholders during discovery and design phases
Seniority
Senior, hands-on IC