Senior Data Scientist
Herzliya
Applications have closed
AppsFlyer
Get visibility into performance, scale installs, and maximize LTV with a new standard of measurement and deep linking solutions.AppsFlyer is the market leader in the mobile attribution business.
We process ~200 billion mobile app events a day. This information is vital for apps in managing campaigns for promoting their apps. This market consists of over 100B USD annually.
Our Data Science group develops holistic solutions for challenging data science tasks at huge scale and breadth of information, taking them from initial algorithmic ideas to scalable production solutions. Some of AppsFlyer's most critical products are built around DS models.
You will be expected to tackle product challenges that require both creative scientific thinking and familiarity with DS tools and algorithms as a senior data scientist.
You will be involved in developing, implementing, and deploying these algorithms on a massive scale. Applied data scientists at our company are closely connected to the market and to our production environment, making their work more exciting!
Partial list of our tech stack: Spark, Scala, Python (and its related scientific stack), Tensorflow, Kafka, AirFlow, AWS services and more.
What you’ll do
- Developing large-scale machine learning models.
- Translate business and product needs into successful scientific and production grade solutions.
- Take a leadership position in our growing data science grou.
What you have
- M.Sc/Phd in Computer Science/Physics/Math.
- 5+ years in Data Science/Algorithmic development.
- Strong engineering background. Each member of the group is responsible for both the scientific and the engineering solution.
- Ability to mentor others, work in teams, teach and learn from peers
- Proficiency in written and spoken English. Our day to day work is in many times in English (some of the team members are non-Hebrew speakers)
Bonus Points
- Coding experience with Scala
- Being introduced by an AppsFlyer employee
As a global company operating in 19 countries across 5 continents, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Computer Science Engineering Kafka Machine Learning ML models PhD Physics Python Scala Spark TensorFlow
Perks/benefits: Career development Salary bonus Team events
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