- Be the go-to person for new solution in the pay-tv fraud and piracy arena
- Measure and organize tasks according to constraints vs. capacity, meeting our deadlines for deliverables
- hands-on research, research review for explaining results, and suggest improvements and new methodologies
- Develops and manages information to support corporate decision making.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
- Ability to transfer research outcomes to engineering work .
- M.Sc or excellent B.Sc. degree in Computer Science, Math, Statistics, Physics or related fields
- fully hands-on Data Scientist
- At least two years of relevant experience as a data science technology lead, with proven experience in leading multiple research project in parallel.
- Extensive knowledge in SQL and python data libraries such as Pandas, Numpy, Sklearn else.
- Experience in data visualization techniques matplotlib, plotly or equivalent
- knowledge with Big data technologies – Spark / Hadoop
- Familiarity with Deep learning
- Experience with unsupervised data
- Familiarity with fraud analysis