onsite
AI & Data Scientist - Charles Schwab
Data Scientist
AI & Data Scientist role focused on building predictive models, designing data pipelines, and delivering analytics solutions using Python, machine learning, SQL, and cloud services.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models to solve business problems in finance.
- Build and maintain scalable data pipelines and ETL processes using SQL and cloud services.
- Collaborate with product owners and engineers to translate requirements into analytical solutions.
- Create visual dashboards and reports that communicate insights to stakeholders.
- Perform statistical analysis and experiment design to validate model performance.
Requirements
- Strong proficiency in Python and its data‑science libraries (pandas, scikit‑learn, TensorFlow/PyTorch).
- Experience with relational databases and advanced SQL querying.
- Hands‑on experience with cloud platforms, preferably AWS (S3, EC2, SageMaker).
- Solid understanding of statistical modeling, hypothesis testing, and experiment design.
- Ability to visualize data and present findings using tools such as Tableau, Power BI, or similar.
Skills
pythonmachine learningsqlaws