Collaborate & Innovate Work closely with cross-functional teams to identify opportunities gather requirements and transform challenges into scalable technical Advanced Models Develop state-of-the-art data science and machine learning approaches leveraging proven methodologies or creating custom algorithms tailored to business Robust Systems Partner with data engineers and platform architects to implement high-performance real-time and batch decisioning Insights Present findings to business stakeholders and executives ensuring data-driven strategies translate into meaningful business & Evolve Stay at the forefront of technological advancements by researching new techniques across data science engineering and visualization to continuously refine the teams capabilities.
Communication & Presentation: Superior verbal and written communication and presentation skills ability to convey meticulous mathematical concepts and considerations to non-experts.
Machine Learning: Understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting anomaly detection convex optimization computer vision NLP LLM recommendation system and Auto ML
Databases: Solid understanding of relational databases including SQL and large-scale distributed systems such as Hadoop and Spark
Programming language: Ability to implement data science pipelines and applications in a general programming language such as Python Scala or Java
Insight: Ability to extract meaningful business insights from data and identify the stories behind the patterns
Creativity: to engineer novel features and signals and to push beyond current tools and approaches
Bilingual: Excellent verbal and written communication skills in both Mandarin Chinese and English
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