Responsibilities
- Build measurement and planning solutions for publishers, advertisers, and agencies.
- 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. The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation.
- 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. And also 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.
Skills Required
- 0-3 years work experience.
- Proficiency in Python, Spark, SQL.
- 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, Google 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.
Desired Skills (Business)
- Excellent oral and written communication.
- Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment.
- Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.

0 applies
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