We- re looking for someone to:
- Provide thought leadership in predictive modeling and machine learning. NLP and Deep Learning are the two focus areas
- Leverage data assets to build learning systems and predictive models to drive the efficiency of the investment process
- Collect, cleanse, massage, and organize data in both SQL and No-SQL environments
- Develop story-telling visualizations using data scientist tools
- Communicate the context and value of data analysis and models to stakeholders so that your work is well understood and actionable
- Deploy models into production in a way that is easy to maintain and scalable
- Build infrastructure to accelerate the pace of model exploration and improve model serving and maintenance
- Manage model release cycle.
Experience and skills
You have:
- PhD or MS degree in Data Science, Operations Research, Applied Math, Statistics, Computer Science, or equivalent
- 10+ years of hands-on experience in developing statistical models, natural language processing, and deep learning models
- Leading multiple teams
- Experienced with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels)
- Experienced with Big Data technologies such as Hadoop, Spark, SparkML, Cassandra, SparkSQL
- Demonstrated the ability to independently develop new concepts and stay current with academic research
- Demonstrated the ability to explain and present your analyses and models to audiences with varying levels of expertise
- Experienced with large scale computing and ML
Didn’t find the job appropriate? Report this Job