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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. On top of this real time cloud stack, we are building the first AI-empowered platform to answer questions on par with network domain specialists and automate remediation to poor user experiences on the network. Mist’s Marvis AI/ML platform has become the new global standard for many fortune 500 companies.

The mission of the Data Science team at Mist is to demonstrate 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 specialists to automatically supervise, detect and remediate common network issues. The team includes a group of experienced and hardworking data scientists and data science engineers, and builds the end-to-end data analytics infrastructure and ML models of the product.

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, ElasticSearch
  • 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

Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Confirmed 22 minutes ago. Posted 30+ days ago.

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