19 days ago
Job overview and responsibility Pollen Tech Pte Ltd is a private B2B marketplace that helps companies buy and sell excess inventory sustainably, with a focus on reducing business waste. As a Data Scientist, you will work as part of a dynamic team to support the development and implementation of data-driven solutions for Pollen's platform. In this role, you will: - Provide actional insights to drive the growth of business and improvement of operational efficiency. - Leverage data science expertise to design data solutions to solve commerce operation and product problems such as inventory and pricing - Partner closely with key stakeholders to optimize overall business performance and health. - Provide suggestions for improvements to align with the business goals -Work closely with engineers and product on implementation and tracking for business improvements made Required skills and experiences - At least 3 years of working experience in data science, with a bachelor's degree or above, majoring in quantitative field statistics is preferred. - Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization. - To succeed in the role, you need to be a proactive, self-driven and impact-driven person. - Be able to work with cross-functional teams in a fast-paced environment. Preferred skills and experiences - E-commerce or online marketplace experience is strongly preferred. - Proficient in using at least one mainstream deep learning framework such as Tensor Flow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods. - Experience in text classification, text matching, sequence labeling, knowledge graph. - Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues. - Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2 Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning. - Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink). Why Candidate should apply this position - Welcome Gift (new hires) - Incentives (base on individual & company performance) - Mental Health off days - Annual Leave - Birthday Gift - Service Award - Private Health Insurance - Work From Home (2 days per week)