Data Scientist Team Lead (вакансія неактивна)

• MS degree in a quantitative discipline (e.g., computer science, mathematics, physics) or equivalent practical experience.
• 3+ years of experience with Python
• 5 years of relevant work experience in data analysis with demonstrated skills in selecting the right statistical tools given a data analysis problem.
• 2 years of people management and leadership experience. Demonstrated willingness to both teach others and learn new techniques.
• Excellent oral and writing communication skills
• Team player and enthusiastic
• English: upper-intermediate +

• End-to-end responsibility for the design, research, development and deployment of your projects and your team projects in close collaboration with your customers.
• Direct management of scientific data team. Cross-functional interaction with a wide range of people and teams; Work closely with engineers to ensure high level of professionalism and standards, as well as conforming to product and project requirements.
• Conduct hands-on research working with large and complex data sets; Solve difficult unconventional analysis problems, using advanced analytical methods as needed. In depth analysis including data collection, specification understanding, processing, analysis, ongoing deliverables, and presentations, while working in a fast and collaborative environment.

Playtika AI Research department is fast-growing place where we build wide range of projects based on machine learning algorithms. We are doing quick proof of concepts and in case of success — scale projects to use full Playtika data (billions of rows, tens of terabytes) and move to production.

As the number of projects grows we need to have system and the team that will do analysis of all existed models and keep track that everything is going as it supposed to. Otherwise have an alerting system that allows to understand the nature of changes and react appropriately.

You, as a data engineer will participate in full life cycle of each project creation and production.