ironSource Published: October 29, 2019
Job Type
Level of education
Spoken Language needed
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


We are looking for an outstanding data scientist to spearhead our Data Science team. You will lead the design & development of our ML based solutions that drive content recommendations to over 130M users, optimize user experience based on users behavior, predict the best time to interact with users and much more. As Head of Data Science, you are expected to drive the Data Science initiatives from start to finish – spot the problems we should solve, work on the requirements with the product managers, drive the development with the teams, own the solution quality, define how to monitor effectively and more. Our recommendation systems are at the heart of our solutions and you will be the one making sure it ticks!

- Make a major impact on Auras business goals & KPIs
- Lead, mentor and grow the Data Science team
- Set the vision & roadmap of Auras Data Science initiatives and guide the teams to execute on this vision
- Participate hands on in implementing the teams core business logic
- Lead end-to-end big-data ML projects developed cross multiple teams (R&D, BI, Data Engineering, Devop etc.)
- Own the solution from design to production, ensuring smooth development and operation of our ML based solutions


- MSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
- Experienced in leading and mentoring a team of highly skilled Data scientists
- Strong Leadership skills
- 5+ years of experience in Data science and design/implementation of ML models
- Proven experience working with large data-sets and distributed computing ecosystems (i.e.: Hadoop and Spark)
- Experience in deploying ML algorithms in a production environment at Big Data scale
- An all-around data scientist: strong statistics background, experience in experimentation, data visualization, machine learning algorithms, optimization and big data
- Proficient in Python
- Hands-on experience with industry standard ML libraries such as: sklearn, ML, MLlib
- Independent self-starter and team player
- Excellent communication skills

- Ph.D. or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.)
- Experience implementing a real-world Recommender or Ranking system
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