AI / ML Data Scientist I
Tasks
- Address quality escapes and fix production code issues
- Apply dimension reduction techniques and calculate distances
- Build measurement and planning solutions
- Communicate methodology and research findings
- Deploy and maintain data pipelines and models
- Document methodologies and code
- Explore data variable identification and data cleaning
- Identify AI opportunities and implement them
- Integrate surveys and evaluate model outputs
- Productionize validate and optimize methodologies
- Support end to end reproducible data science projects
- Support methodology research for cross platform audience measurement
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Artificial Intelligence | Bias reduction | Cloud Computing | Confluence | Data Engineering | Data Imputation | Data Pipelines | Data Visualization | Data cleaning | Data integration | Dimensionality Reduction | Git | GitLab | Indirect estimation | Jira | Machine Learning | Missing data | Missing data imputation | Python | Representation | SQL | Sampling | Spotfire | Statistics | Tableau | Trend analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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