Staff Data Scientist
Summary
Build and deploy AI/ML models, prototypes, and decision-support systems while mentoring junior scientists and translating business needs into data-driven solutions.
- Analyze data for trends and input validity
- Apply data science techniques to ambiguous business problems
- Build AI prototypes and troubleshoot customer issues
- Build SQL and ETL queries
- Build statistical machine learning and network models
- Collaborate with Engineering, Analytics, and Product teams
- Communicate results to non technical executives
- Construct data transformations
- Deploy machine learning algorithms for generative AI
- Design scalable decision support approaches
- Establish data science best practices and modeling standards
- Evaluate computational demand accuracy and reliability
- Explore bivariate relationships
- Import data from S3 Redshift and Spark
- Inspect univariate distributions
- Investigate anomalies and their meaning
- Mentor junior and mid-level data scientists
- Translate business needs into data science solutions
- Use AI coding tools to deliver higher quality work
- Validate models against alternative approaches