Data Scientist
Summary
Build and maintain data pipelines, analyze large datasets, and create dashboards to track business metrics for a gaming-focused company using SQL, Python, and BI tools.
What you'll be doing
- Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.
- Conduct precise analysis of probability distributions in casino games, develop and validate mathematical models to ensure game fairness and risk control, supporting compliance operations and decision-making.
- Continuously explore and implement various applications of LLMs in business, from natural language processing to intelligent customer service and content generation, driving enterprises toward intelligent transformation.
- Work closely with various business units, leveraging data analysis and visualization tools to promote a data-driven decision-making culture, helping departments uncover insights from data and develop effective strategies.
Our Stack
- MySQL (Must)
- Python (Good to have)
- AirFlow (Good to have)
- AWS (Good to have)
- Metabase (Good to have)
- Redshift (Good to have)
- Linux (Good to have)
Requirement
- Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models
- 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role
- Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering
- Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods
- Experience with statistical and machine learning models, such as regression-based models (e.g., logistic)
