Intermediate Data Scientist
Core
Intermediate Data Scientist building practical machine learning solutions to solve complex business problems and turn data into meaningful outcomes.
Role type
Intermediate IC data scientist
Builds
production ML models and analytical solutions
Domain
general data science and machine learning
Deliverable
production ML models
Required skills
Python, machine learning fundamentals, exploratory data analysis, feature engineering, data preprocessing, model evaluation, code documentation
Preferred skills
PyTorch, TensorFlow
Technologies
Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow
Responsibilities
Own and deliver multiple data science work-streams, perform EDA to uncover insights, design and evaluate ML models, perform feature engineering and data preprocessing at scale, translate business problems into structured analytical solutions, write clean and scalable code, validate and interpret model results, support and guide junior team members
Seniority
Intermediate, hands-on IC