Playtika Published: August 7, 2019
Job Type
Category
Level of education
Masters
Spoken Language needed
English
Level of Hebrew
Medium
Location of job
Herzliya
How many relevant years experience do you require for the role:
More than 3 years

Description

At Playtika, data is the source of decision making and breaking the boundaries of game analytics. As a Data Science Team Lead you will work across the organization to design and promote Playtika's businesses by defining, exploring and developing products combining Data Science and Machine Learning at the edge of technology. With leadership and technical capabilities, you will manage a group of data scientists and data engineers to lead your group to meet the goals of your projects.

Responsibilities:
- End-to-end responsibility for the design, research, development and deployment of your projects and your team projects in close collaboration with your partners.
- 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 problems, using advanced Machine Learning methods . In depth analysis including data collection, specification understanding, processing, ongoing deliverables, and presentations, while working in a fast and collaborative environment.
- Build prototype and pipeline to provide scale insights. Develop a comprehensive understanding of Playtika’s data structures and metrics.

Requirements

- MS degree in a quantitative discipline (e.g., computer science, mathematics, physics, electrical engineering) or equivalent practical experience.
- 8 years of relevant work experience in machine learning with demonstrated skills in selecting the right statistical tools given a data problem.
- 3 years of people management and leadership experience. Demonstrated willingness to both teach others and learn new techniques.
- Proven experience with running Deep Learning at scale – a strong advantage
- Excellent oral and writing communication skills
- Team player and enthusiastic
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