Senior Applied Data Scientist

Key Skills

Keras software library, Natural Language Processing (NLP), NumPy, PyTorch, Reinforcement Learning, TensorFlow, Scikit-learn, Algorithms, Data Classification, Recommendation Systems, Predictive Modeling, Large data sets

Job Description

Juniper is changing what’s possible in networking. We’re going beyond building the networks customers expect — we’re building the networks customers deserve. And the world is taking note. But to continue to excel, we have work to do. Change in our industry is accelerating. To power connections and empower change, we need radical thinkers, eternal optimists, and energized personalities. We need people like you.

Success requires big thinking and high-reaching goals. Our culture breeds innovation. Here, you will have the opportunity to take chances and let your ideas grow. You will be supported by thoughtful, inclusive, and accessible leaders. You will have every chance to be a part of the conversation and seize our momentum. Your career will be better for it.

At Juniper, we strive to deliver network experiences that transform how people connect, work and live. We Power Connections, Empower Change, and we do that through our core values Being Bold, Building Trust and Delivering Excellence.

Do you want to solve complex problems and build systems that will change the Internet? Do you want to be part of a company that is on the cutting edge of technology? Do you want to work with a world-class team of engineers?

The mission of the Juniper Digital Experience and Automation (DEA) team (part of the Juniper Network Global Services (GS) Organization) is to delight external and internal customers by delivering efficient, innovative solutions that are proactive, easy to use and self-service focused. DEA is at the heart of the Global Services digital strategy. We acquire, build and integrate innovative technologies that enable the Global Services business with a focus on business agility and efficiency. Through partnerships with subject matter experts, we identify need, ideate, determine idea value (ROI) and ultimately realize new capabilities. Automation, Data Science / Machine Learning and Advanced Analytics are critical components of that innovation work.

We are looking for an experienced Applied Data Scientist to join our core data science team within DEA. You will be responsible for developing ML/DL based solutions that innovate the existing processes in key areas such as reliability analysis, proactive maintenance, problem report, customer engagement, inventory management, and business intelligence. You will work closely with other data scientists and domain experts throughout the life cycles of data science projects, leveraging our large datasets of structured and unstructured data (multi-terabyte+, 100MM+ daily transaction volumes). The successful candidate needs to be results-driven and is capable of applying the highest level of technical competence, analytical, and problem-solving abilities in projects of significant business impact.

Basic Qualifications

• MS or PhD in Computer Science, Statistics, or a related discipline with a focus on data analysis and statistical modeling 
• Excellent understanding of machine-learn/deep-learning techniques and algorithms: prediction, classification, NLP, recommendation system, reinforcement learning etc.,
• Experienced in 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 datasets and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, Scikit-Learn, Keras, MLlib, Tensorflow, PyTorch
• Good interpersonal and communication skills

Preferred Qualifications

• 3+ years of working experience as a data scientist or in a similar role 
• Working experience with large Database Systems and Data Lake Services
• Experienced in NLP
• Experienced in Anomaly Detection
• Experienced in building ML solutions based on IoT and telemetry data