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.