Job description
- We are looking for a Data Scientist to join our growing data science team. This hire will be responsible for working with Juniper s network domain specialist helping extend AI/ML across the Juniper portfolio in developing the machine learning models. As a data scientist you will collaborate with product managers and domain specialists 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. . The ideal candidate will be self-directed and comfortable supporting the data needs of multiple systems and products.
Qualifications/Requirements:
- Masters 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 interpersonal skills written, verbal and presentation
Desired Experience:
- Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
- Knowledge and experience with NLP technology
- Previous work in a start-up environment
Responsibilities:
- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with newest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
