Staff Data Scientist

📋 Description

• Collaborate with cross-functional teams to define analytical questions.
• Collect, clean, and prepare large datasets including unstructured text.
• Build and evaluate models for classification, clustering, forecasting.
• Develop metrics to measure model and system performance.
• Communicate findings to technical and non-technical audiences.
• Support deployment and refinement of data science solutions.
• Document methodologies and results for reproducibility.
• Stay informed on advances in data science and AI; apply new techniques.

🎯 Requirements

• University degree preferred.
• 8+ years in related data role.
• Proficiency in Python for data science.
• Strong foundation in statistics and machine learning.
• Ability to work iteratively in an agile environment.
• Experience communicating findings to varied audiences.
• Pandas, NumPy, SciPy, scikit-learn, SpaCy.
• Exposure to Spark, Dask, MapReduce.
• Cloud environments (AWS, S3) and Linux-based workflows.
• Git and lightweight prototyping frameworks (Dash, Shiny).