דרושים » מדעים מדוייקים » בוגרים /ות מצטיינים /ות לתפקידי data Analyst

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

We are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.


Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.