
Advanced Machine Learning Engineer for Algorithm-Driven Solutions
2 weeks ago
About the Opportunity
">Job Description ">
We are seeking a skilled Data Scientist to join our team and contribute to algorithm-driven solutions.
">This role will support advanced on-chain trading and market data products as well as internal business analytics, optimizing user experience, enhancing trading efficiency, and driving business decisions through data insights.
">You will collaborate closely with product, engineering, and business teams to develop and deploy contextualized algorithm models for key functionalities, including trading opportunity discovery, on-chain entity identification, trading asset recommendations, user behavior prediction, and user profiling.
Key Responsibilities:
">- ">
- Design, implement, and iterate on recommendation algorithms, community detection models, user profiling systems, behavior attribution models, and behavior prediction systems.">
- Develop customized algorithms for advanced on-chain trading scenarios (e.g., real-time signal detection, risk behavior prediction) to enhance product experiences.">
- Analyze user behavior data, transaction logs, and internal business metrics to provide actionable insights for decision-making.">
Strong technical skills in machine learning frameworks (e.g., TensorFlow, PyTorch) with hands-on deployment experience.
">Proficiency in programming languages such as Python or R, and data processing libraries (e.g., Pandas, NumPy, Scikit-learn).
">Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
">Deep expertise in core algorithm domains, particularly recommendation algorithms, user profiling, behavior attribution, and behavior prediction.
">Master's degree or higher in Computer Science, Statistics, Mathematics, or a related field.
">Minimum of 3 years in data science or related fields, with preference for candidates with experience in financial, trading, or e-commerce platforms.
"> Benefits ">A competitive total compensation package.
">Professional development programs and education subsidy for employees' growth and development.
">Team building programs and company events.
">Comprehensive healthcare schemes for employees and dependents.
">Wellness and meal allowances.
"> Others ">Fluent English language skills.
">Strong business acumen to translate algorithms into business value.
">Excellent communication skills to explain complex models to non-technical stakeholders.
"]],-
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