Playtika
Playtika
Playtika is a multiplatform social games developer. We are the #1 grossing Facebook game developer as well as a Top 10 grossing developer on iOS & Android worldwide.

Founded in 2010, Playtika immediately enjoyed skyrocketing growth and expanded quickly by acquiring other leading game …
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Posted by an employee at Playtika as part of a referral program.

Algorithm Data Developer
Analytics Hertzliya
Jul 2, 2017


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Job description
We’re looking for a data expert- an algorithm developer to work on our core business activity and to help us shape the future of what we do.
You will enjoy working with one of the richest data sets in the industry within a data driven company.
You will have the chance to work with cutting edge technologies, to test your models with our player users and to get a quick real feedback from them. You will have the ability to see your insights turned into real products on a regular basis.


Job Description:
- Be a team member. A core part of our analytical department.
- Understand the company department work and business questions we are facing. Provide a “model approach” solution for our business needs.
- Map, recognize and investigate user behavior. Develop and refine relevant algorithms to predict future activity.
- Prescribe actions to improve personalization, customer engagement, retention, and monetization.
- Identify un-optimized areas in the business-analytical flow and provide innovative and fresh approach to solve them.
- Stay abreast of the latest open source big data technologies and determine how to integrate into work; identify and introduce opportunities to build new solutions from the ground up
- Help educate, influence, and inspire adoption of data science best practices



Job requirements:
- MSc. In Mathematics, Computer-science or other research-based field. Advantage for thesis in machine learning. PhD is a strong plus.
- Over two years of hands on experience in design, coding and optimizing predictive and clustering models. Experience from an online company (E-commerce\Algo\ Quant) is preferred.
- Strong knowledge in Python, R (and relevant packages) on Big Data tools like Spark.
- Experience and familiarity with SQL and Hadoop DB’s and working with unstructured and massive data
- Have an eager drive to improve business processes, functions, products, and delivery to users.
Job description
We’re looking for a data expert- an algorithm developer to work on our core business activity and to help us shape the future of what we do.
You will enjoy working with one of the richest data sets in the industry within a data driven company.
You will have the chance to work with cutting edge technologies, to test your models with our player users and to get a quick real feedback from them. You will have the ability to see your insights turned into real products on a regular basis.


Job Description:
- Be a team member. A core part of our analytical department.
- Understand the company department work and business questions we are facing. Provide a “model approach” solution for our business needs.
- Map, recognize and investigate user behavior. Develop and refine relevant algorithms to predict future activity.
- Prescribe actions to improve personalization, customer engagement, retention, and monetization.
- Identify un-optimized areas in the business-analytical flow and provide innovative and fresh approach to solve them.
- Stay abreast of the latest open source big data technologies and determine how to integrate into work; identify and introduce opportunities to build new solutions from the ground up
- Help educate, influence, and inspire adoption of data science best practices



Job requirements:
- MSc. In Mathematics, Computer-science or other research-based field. Advantage for thesis in machine learning. PhD is a strong plus.
- Over two years of hands on experience in design, coding and optimizing predictive and clustering models. Experience from an online company (E-commerce\Algo\ Quant) is preferred.
- Strong knowledge in Python, R (and relevant packages) on Big Data tools like Spark.
- Experience and familiarity with SQL and Hadoop DB’s and working with unstructured and massive data
- Have an eager drive to improve business processes, functions, products, and delivery to users.