Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.
Requirements
3+ years of working experience in the field of advanced research using Data Science tools
BSc degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proficiency in programming languages such as Python and SQL and data science toolkits.
Strong experience in data analysis, statistical modeling, and end to end machine learning flow: data extraction, feature engineering, model building and performance evaluation.
Experience in AB testing
Excellent communication skills and the ability to present complex data in a clear and concise manner.
Strong problem-solving skills and the ability to think creatively to develop innovative solutions.
Self-learner, strong can-do attitude and great interpersonal skills
Working experience in the gaming industry - an advantage