Data Scientist (MLE/DAT)

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