58112P-Sr Data Scientist

At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.

To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.

Future of X:

The Future of X (FoX) team is dedicated to transforming and creating a digital-first experience for support and services at Juniper. We are investing in a state-of-the-art digital technology stack, leveraging AI and automation to simplify customer journeys, enhance support experiences, and accelerate processes—often by enabling self-service capabilities. Key components of our solution include omnichannel platforms, portals, and digital suite of automation tools, providing customers with seamless, low-effort engagement options and enabling faster issue resolution, often without the need to open a case.

To build these complex solutions, our team consists of domain experts, architects, data scientists, data engineers, and MLOps professionals, managing the entire solution lifecycle—from concept to deployment. On the GenAI/AI front, we develop solutions tailored to Juniper’s business objectives.

Finally, every solution we bring to market is fully integrated into Juniper’s customer support and services technology stack, ensuring a seamless and impactful digital experience.

Responsibilities of Data Scientist within the FoX team:

• Develop advanced ML/AI models leveraging both structured and unstructured datasets for batch and online inferencing use cases within the Customer Support and Employee Experience domains.
• Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational, and other key business performance metrics.
• Collaborate with partners including the executive, product, data, and operations teams to transform business priorities into ML/AI problems and develop solutions.
• Work with MLOps specialists to manage the full life cycle of model development from concept to production.
• Collaborate with data and analytics specialists to strive for greater functionality in our data systems.
• Identify trends and patterns from datasets to scope opportunities for automation.
  
  

Qualifications And Desired Experiences

• 7+ years of experience in an AI Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 6+ years of experience in end-to-end architecting of advanced ML and AI solutions.
• Strong hands-on coding skills (preferably in Python) for processing large-scale data sets and developing machine learning models leveraging both structured and unstructured data.
• Experience working in a technical support environment, handling datasets from CRM, bug systems, and logs.
• Experience supporting and working with multi-functional teams in a multidimensional environment.
• Good team player with excellent interpersonal, written, verbal, and presentation skills.
• Create and maintain optimal data pipeline architecture, assembling large, sophisticated data sets that meet functional/non-functional business requirements.
• Experience working with Large Language Models, Generative AI, and Conversational AI.
• Familiarity with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, and NLP libraries.
• Experience working with Databricks and Snowflake platforms.
• Experience with AWS, S3, Spark, Kafka, and Elastic Search.
• Experience with AWS cloud services: EC2, EMR, RDS, and Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Familiarity with building and optimizing data pipelines, architectures, and data sets.
• Familiarity with MLOps practices and Agile development framework.
• Familiarity with CRM platforms such as Salesforce.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  
  

About Juniper Networks

Juniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.

WHERE WILL YOU DO YOUR BEST WORK?

Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bengaluru, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world.

At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.

Additional Information for United States jobs:

ELIGIBILITY TO WORK AND E-VERIFY

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.

• Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-Verify
• Immigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a Trabajar
  
  

E-Verify® is a registered trademark of the U.S. Department of Homeland Security.

Juniper is an Equal Opportunity workplace. 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.