1.Extract and thoroughly analyze large piles of data.
2.Build and test big-data models, assisting in the perfection of models and updating of machine-learning algorithms.
3.Study the applications of machine-learning algorithms in different risk-control scenes, producing innovative and authentic ideas.
4.Cooperate in project plans to meet client needs, responsible for onsite model-building if necessary.
5.Perform other necessary duties required by the supervisor.
1.A Master’s degree in Computer Science, Mathematics, Statistics, or other related fields is required. **Exceptions may apply in special circumstances.**
2.2 or more years of working experience is preferred.
3.Proficient in programing tools such as R and Python; experience with software engineering and operational optimization is preferred.
4.Knowledgeable of basic statistics and principles behind frequently-used machine-learning algorithms, proficient in their usage.
5.Knowledgeable of MapReduce distributed computation; experience with big data processing on platforms such as Spark and Hadoop is preferred.
6.Candidates with publications in related fields are preferred.
7.Candidates with personal blogs or accounts with Github, Kaggle are preferred.
8.Insightful into data; keen and patient.
9.A curious learner who is passionate about new technology.