Responsibilities
- Participating, for data eng related task, into development, test, and refinement of data models using multiple types of data for various purposes such as imputation and data correction
- Participating into processes set-up for new algo according to methodologies specific goals Work with cross-functional teams to design, implement and test new audience measurement methodologies
- Document new methodologies and best practices
- Stay informed of new research and developments in the field
Skills Required
- This position requires a detail-oriented person who preferably has experience in data modeling research and who enjoys working in a fast-paced environment.
- Ability to problem-solve, work independently, and see the big picture are keys to success in this position.
- University degree in Statistics, Computer Science, Applied Mathematics, Engineering, or equivalent demonstrated experience
- Solid experience with Python or similar languages, preferably in machine learnings context
- Good communication skills (written and verbal)Proficiency in English, both written and spoken
Skills Desired:
- Knowledge about multivariate statistics (parametric/ non-parametric), trend analyses, sampling, automation Experience working on complex projects
- Experience with designing and validating measurement methodologies Master’s in statistics, economics, quantitative social sciences, operations research, or hard sciences
- Experience working with global cross-functional teams of various sizes
- Experience with big data technologies
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