کارشناس ارشد داده (متخصص بلاک‌چین)

دربارهٔ این فرصت

Wallex is a FinTech company providing a secure cryptocurrency exchange platform and digital asset payment solutions. With a vision to become a leading global FinTech enterprise, Wallex is recognized as one of the largest cryptocurrency exchange platforms in Iran, enabling the online trading of more than 130 cryptocurrencies. We are looking for a sharp, innovative, and self-driven Senior Data Scientist (Blockchain) to join our team. This position goes beyond traditional data analysis and model development. We deal with complex, high-stakes challenges across blockchain operations, including hot-wallet liquidity management, wallet risk assessment, and on-chain analytics. If you enjoy breaking down ambiguous problems, applying advanced statistical and optimization techniques, and building data-driven systems that directly influence real-world financial operations, this role is built for you.

Responsibilities: -Own end-to-end data science projects — from problem decomposition and data exploration to model development, deployment, and continuous performance monitoring.

Optimize hot-wallet replenishment by building probabilistic withdrawal-demand forecasts and designing replenishment policies that balance liquidity availability, operational costs, and security exposure.

Develop wallet risk-scoring systems to screen deposits and withdrawals against sanctioned and frozen addresses, assess indirect exposure through transaction graphs, and support risk-based review decisions.

Build on-chain analytics infrastructure by establishing wallet registries, reconstructing balances and transaction flows, and reconciling blockchain data with internal records.

Turn models into actionable data products such as replenishment recommendations, wallet-screening services, and operational decision systems that integrate into daily workflows.

Validate and improve production systems through backtesting, baseline comparisons, shadow-mode testing, performance monitoring, and feedback-driven model refinement.

Collaborate with Blockchain Engineering, Treasury, Finance, Compliance, and Data Engineering to translate business and operational challenges into reliable, scalable solutions.

Qualifications: Minimum of 5+ years of experience in data science, applied machine learning, operations research, or a closely related quantitative field, with experience owning at least one production system end to end.

Advanced proficiency in Python and SQL for data processing, modeling, analysis, and working with large-scale data warehouses.

Strong background in probabilistic and quantile forecasting, intermittent and bursty demand, statistical evaluation, and inventory optimization.

Solid understanding of optimization techniques and inventory policies, including reorder-point and order-up-to strategies, with the ability to balance competing operational and risk objectives.

Experience with graph analytics, transaction networks, risk scoring, or entity resolution. Experience in fraud detection, AML, or payment networks is a strong advantage.