Key skills
CloudETLNumpyPandasPythonScikit-LearnSQLTableauAIMLscikit-learnNumPyData EngineeringAnalyticsLookerBIPower BIdbt
About this role
Role Overview
- Design experiments and evaluate model behavior
- Build data workflows and reason about data-driven decisions
- Contribute to cutting-edge AI research and collaborate with top industry labs
- Analyze datasets and communicate findings clearly
Requirements
- 4+ years of professional experience in Data Science, Applied ML, Analytics, or Data Engineering
- Strong proficiency in Python and common DS/ML libraries (pandas, NumPy, scikit-learn, Matplotlib)
- Strong proficiency in SQL and experience working with real-world datasets
- Ability to design, run, and interpret experiments such as A/B tests
- Experience evaluating ML model performance, diagnosing failure modes, and improving model quality
- Ability to analyze datasets, extract insights, and communicate findings clearly
- Familiarity with data visualization tools (Tableau, Looker, Power BI, or similar)
- Experience working with data workflows or pipelines (dbt, cloud warehouses, ETL concepts)
Tech Stack
- Cloud
- ETL
- Numpy
- Pandas
- Python
- Scikit-Learn
- SQL
- Tableau
Benefits
- Flexible hours
- Potential to extend projects