Job Description

Qualifications

• 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.
• E-commerce or online marketplace experience is strongly preferred.
• 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.

Requirements

Bachelor\'s degree in Computer Science, Information Technology, or a related field.

Minimum of 3 years of experience in data engineering or a related field.

Strong programming skills in languages such as Python, Java or Scala.

Hands-on experience with cloud-based data platforms such as AWS

Experience with data warehousing, ETL, and data modeling techniques.

Excellent problem-solving skills and attention to detail.

Working experience in one of the following fields: machine learning, NLP, and computer vision

Experience with software development in at least one of the following programming languages: C++, Python, Go, Java, SQL, can use Python or R for data analysis

Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

Preferred Qualifications:

• 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).

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

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