Data Scientist

About OpenNet

OpenNet is a fast-growing technology company with products reaching 20+ countries worldwide.

We bring together talented people who enjoy solving challenges, moving fast, and learning from one another. We value collaboration, flexibility, growth, and work-life balance — creating an environment where people can do great work and enjoy the journey along the way.

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)

We Care More About How You Work and Live

Some things are simply essential: MacBook Pro, large monitor, Sony noise-cancelling headphones, snacks, coffee and fresh fruit.Some rewards are simply standard: holiday bonuses, , quarterly performance bonuses, and referral bonuses.

But what matters even more to us: