Data Scientist - Entry Level

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.

Juniper is looking for a Data Scientist to work in its Future of Support team. The team is responsible for development of AI and ML based applications to automate customer support processes and provide Juniper’s customers with a Digital First experience. We are looking for an energetic, highly-motivated, fast-learning, self-starter to join the team. The candidate will help with special projects while gaining a unique perspective on building cloud- based AI/ML infrastructure and application of AI/ML techniques in the networking domain focused on customer support use-cases.

We’re looking for people who are excited about data and applying cutting-edge techniques to analyze and leverage vast amounts of information for insight and action. Our environment is highly collaborative, fostering learning and teamwork, and encouraging all Junivators to take ownership of our collective success.

The right candidate has:

• A strong interest in Data Science and Engineering and related development, exemplified by a solid grasp of concepts in: Data Science areas such as Data processing, Machine learning, Deep learning, Natural Language processing (Text/log processing, Chatbots, Knowledge graphs).
  
  

Generative AI areas such as Large Language Models, Fine Tuning techniques for LLMs, Building Retrieval Augmented Generation (RAG) applications, Prompt Engineering, designing Agentic AI systems.

Data Engineering areas such as Map-reduce, Hadoop, Kafka, Spark

Data Science toolsets/libraries (e.g., Pandas, Keras, Tensorflow, ScikitLearn)

Tableau and other data visualization tools

Databases like Relational Databases, No-SQL Databases, Graph Databases and exposure to Associated Query languages.

• Strong fundamental  computer science skills, e.g. algorithms, distributed systems, data structures, object-oriented programming, including: Strong programming and debugging skills in Python, R Familiarity with Linux, Java, C/C++ Familiarity with Cloud platforms like AWS, GCP or Azure
• BS or MS degree in CS, CE, or EE
  
  

Additional qualities of a successful candidate include:

• Analytical and problem-solving skills
• Demonstrated track record of taking initiative and being resourceful
• Ability to work collaboratively and solve problems
• Strong communication skills, especially written
• Leadership experience, whether formal or informal
• Enthusiasm!
  
  

At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.

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 Bangalore, 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...

INCLUSION AND DIVERSITY AT JUNIPER

At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. We know from experience that people from underrepresented groups often do not apply for roles they do not feel they meet all the criteria for. 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 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.