Responsibilities
- Build measurement and planning solutions for publishers, advertisers, and agencies.
- Identified the AI opportunities in existing and new projects and implemented them.
- Support reproducible data science projects end-to-end
- Deploy and maintain data pipelines and models in a production environment
- Work with cross-functional teams to productionize, validate, and optimize methodologies
- Communicate methodology and research findings to varying audiences
- Support research on methodology changes to cross-platform audience measurement.
- Continuous support and development of new projects by exploring the data
- Variable Identification, cleaning the data, applying dimension reduction techniques, calculating distances and integrating the surveys.
- Using output evaluation techniques in order to make sure of the accuracy.
- Address quality escapes and fix issues in production code.
- Document new methodologies and code
Requirements
- 0-3 years work experience
- Proficiency in Python, Spark, AWS, SQL, Artificial intelligence and Machine learning
- Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
- Strength in code documentation
- Proficiency in Git and code versioning tools (Gitlab)
- Proficiency in Atlassian Suite such as JIRA and Confluence.
- Familiarity with cloud computing (AWS, Goolge Cloud preferred)
- Knowledge of statistics and machine learning
- Ability to manipulate, analyze, and interpret large datasets
- Knowledge of dashboarding and visualization tools like Spotfire/Tableau
