

Key job responsibilities
Develop and maintain scalable data pipelines, data models, and dashboards to support self-service analytics and executive reporting.Implement data validation, monitoring, and experimentation frameworks to ensure the accuracy and reliability of metrics and model outputs.Mentor and support the growth of analysts, BIEs, and junior data scientists by sharing best practices in data science, analytics engineering, and experimentation.
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
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