Data Scientist
Core
Design, build, and validate machine learning models to solve business problems such as forecasting, segmentation, and recommendation.
Role type
Applied machine learning engineer (data scientist)
Builds
Production ML models, data pipelines, and analytical dashboards
Domain
General business analytics (finance/healthcare/e-commerce)
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, Scikit-learn, SQL, Statistics, Experiment Design, Machine Learning Model Development
Preferred skills
Data Visualization, TensorFlow, PyTorch, AWS SageMaker, GCP Vertex AI, Azure ML, Model Deployment, MLOps
Responsibilities
Design and analyze A/B tests, conduct exploratory data analysis, build and maintain data pipelines, monitor deployed models for performance and drift, translate business questions into analytical problems
Seniority
Mid-level, hands-on IC