DESCRIPTION:
- Leverage data assets to build learning systems and predictive models to drive the efficiency of the investment process
- Involved in predictive modeling and machine learning.
- Collect, cleanse, massage, and organize data
- Deliver actionable insights to stakeholders through rich visualization and presentation
- Deploy models into production
- Build infrastructure to accelerate the pace of model exploration and improve model serving and maintenance
- Manage model release cycle
SPECIFICATION:
- B.Tech or phD or MS degree in Data Science, Operations Research, Applied Math, Statistics, Computer Science
- Good hands-on experience in developing statistical models, natural language processing, and deep learning models
- Experience with machine learning APIs and computational packages such as TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark ML
- Experience with time series data, Big Data technologies such as Hadoop, Spark, Kubernetes, Kafka, Arrow,
Didn’t find the job appropriate? Report this Job