10bet operates a sportsbook and online casino with 20+ years of market presence. The tech stack reveals a data-heavy organization: Python, R, scikit-learn, XGBoost, and TensorFlow sit alongside production ML workflows (real-time prediction systems, fraud detection models). Active hiring leans heavily toward marketing (6 roles) and ops support, while engineering and data hiring remain constrained—suggesting the company is optimizing existing systems and scaling go-to-market rather than building new product infrastructure.
10bet is a privately held sports and casino betting operator based in Malta, serving bettor-facing products across 60+ sports and live casino games. The platform spans mobile and desktop channels, with active coverage in GCC markets and hiring presence in Bulgaria and South Africa. Operations scale around three core functions: predictive risk and fraud modeling (XGBoost, TensorFlow), conversion funnel optimization (A/B testing, landing page tuning), and affiliate partner expansion. The organization runs content and SEO operations in-house alongside paid acquisition channels (Meta, TikTok, Google).
Python, R, scikit-learn, XGBoost, and TensorFlow. Active projects include real-time prediction systems and fraud/risk detection models deployed for production use.
Scaling ML prototypes to production, fraud and risk detection, SEO and content optimization, A/B testing on deposit journeys, and expanding affiliate programs in GCC markets.
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