Job Description
- Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems using analytical, statistical, machine learning or deep learning approaches
- Design, develop and maintain data ETL processes, ensure the processes are fulfilling business needs and SLAs
- Facilitate technical planning and optimize the data infrastructure, models and pipelines to improve data platform stability
- Design and develop Data Products to drive business outcomes
- Collaborate with business stakeholders to understand their data needs and develop robust and scalable data models
- Develop processes to answer recurring business questions and identify opportunities for improvement
- Ensure Data Quality through continuous improvement and monitoring
Job Requirements
- 2+ years of experience in data science, data engineering, software engineering, or a related field
- Production-level Scala, Python and SQL programming knowledge
- Experience building and scaling batch/streaming data pipelines, with good understanding of size and performance constraints.
- Understanding of ML algorithms such as classification, regression, clustering, neural networks, SVM, decision trees, boosting techniques, reinforcement learning, etc
- Experience building data products with Cloud Services and Data Warehousing services in AWS or AliCloud
- Knowledge of SQL and NoSQL databases is advantageous
- Fresh Graduates are welcome to apply
