DATA SCIENTIST

Required DATA SCIENTIST
Join us, where we're driven by the belief life needs play. Were on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide.
From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence.
Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA.
With a strong financial foundation, disciplined operations, unwavering player-focused approach and relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us.
Join our dynamic team as a Data Scientist, where you will leverage advanced statistical methods, predictive modeling, and machine learning to drive our marketing efforts forward. You will be at the forefront of analyzing trends, predicting customer behavior, and assessing the impact of marketing strategies. This role demands a deep understanding of business dynamics, an innovative approach, and the ability to provide actionable insights to both technical and non-technical stakeholders.
Responsibilities:
Apply advanced statistical techniques and machine learning algorithms to solve complex marketing problems.
Develop predictive models to forecast trends, customer behaviors, and the outcomes of different marketing strategies.
Conduct A/B testing and other experiments to optimize marketing efforts and refine customer segmentation and lifetime value models.
Innovate and enhance our marketing analytics capabilities by developing new methods and tools.
Manage large datasets and construct complex statistical models to support marketing decisions.
Deliver ad-hoc analysis and smart solutions to business challenges, providing a quick response to emerging needs.
Analyze the impact of AI-driven models on marketing initiatives, defining key metrics to evaluate success.