Senior Data Scientist
Mist, a Juniper Company, is the first vendor to bring enterprise-grade Wi-Fi, BLE and IoT together through a highly scalable cloud architecture. At Mist, we built the first AI-empowered platform to provide an unprecedented visibility into the user experience. Mist is the new global standard for many fortune 500 companies.
The mission of the Data Science team at Mist is to leverage state-of-art ML and AI technologies to build the next-generation self-driving network solution, which can take actions on behalf of or together with human experts to automatically monitor, detect and remediate common network issues. The team includes a group of experienced and talented data scientists and data science engineers, and builds the end-to-end data analytics infrastructure and ML models of the product.
Now we are looking for a Senior Data Scientist to help define and expand this mission. As a data scientist, you will collaborate with product managers and domain experts to identify use-impacting real customer problems, use your deep DS/ML knowledge to develop data-driven solution with terabytes data, and work closely with data engineers to implement and scale the models in production.
MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
Good team worker with excellent communication skills written, verbal and presentation
Experience with AWS, S3, Flink, Spark, Kafka, ElasticSearch
Knowledge and experience with NLP technology
Previous work in a start-up environment