Data Scientist

Job Description

Murka is looking for a Data Scientist for the team that develops social casino games.

Responsibilities

• Collect, process, and analyze large and complex data sets from various sources to uncover actionable insights that drive product improvements, marketing optimizations, and business growth.
• Develop, implement and support statistical models, machine learning algorithms, and data-driven strategies to support product, marketing and business decision-making.
• Design and conduct A/B tests and experiments to measure the impact of changes and provide recommendations for enhancements.
• Create and maintain visually compelling reports, dashboards, and data visualizations that effectively convey insights
• Collaborate with cross-functional teams including marketing, game development, and business intelligence to transform data into actionable insights and support key business initiatives
• Continuously explore advancements in data science, machine learning, and AI, applying new methodologies to enhance analytics processes and drive innovative solutions

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience as a Data Scientist, ideally in the gaming or mobile app industry.
• Strong Python and/or R programming skills, with experience using libraries such as Pandas, NumPy, Scikit-learn.
• Proficiency in SQL for data extraction and manipulation and experience with data visualization tools like Tableau, Power BI, or equivalent.
• Solid understanding of machine learning, statistical analysis, and experience implementing models for classification, regression and clustering
• Experience with cloud platforms (e.g., Google Cloud, AWS, Azure)
• Strong analytical and problem-solving skills, with the ability to draw actionable insights from large datasets.
• Excellent communication skills to explain complex data concepts to stakeholders with varying technical backgrounds.
• Ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.