Data Scientist

Key Skills

Python Programming, ETL/ELT technologies, Jupyter Notebook, Keras software library, MATLAB Programming, PyTorch, SciPy, Tableau, TensorFlow, Scikit-learn, Natural Language Toolkit - NLTK, Oracle Analytics

Job Description

Riverbed enables organizations to maximize performance and visibility for networks and applications, so they can overcome complexity and fully capitalize on their digital and cloud investments. The Riverbed Network and Application Performance Platform enables organizations to visualize, optimize, remediate and accelerate the performance of any network for any application. The platform addresses performance and visibility holistically with best-in-class WAN optimization, network performance management (NPM), application acceleration (including Office 365, SaaS, client and cloud acceleration), and enterprise-grade SD-WAN. Riverbed’s 30,000+ customers include 99% of the Fortune 100.

About this Position

Responsibilities include:

• Analyze and model end-user, application, and networking data to provide actionable insights for our customers
• Apply innovative ways to use analytics, statistics, and machine learning techniques that directly contribute to the design and development of new product features
• Collaborate with fellow data scientists, product, and engineering on projects starting from exploration/experimentation to production
• Fuse together large amounts of user generated content coming from different data streams
• Implement algorithms, such as classification, clustering, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods

Requirements include:

• Proven track record building data products with statistical inference and machine learning approaches such as regression analysis, classification, clustering and predictive models. 
• 3+ years experience using analytics, statistics, machine learning to solve complex problems
• Proficient in statistical software (i.e., R, Matlab), programming languages (i.e., Python, C++, Java), data processing packages (i.e., pandas, dplyr), machine learning libraries (i.e., sklearn, R packages), and data visualization (i.e., matplotlib, ggplot, seaborn) 
• Advanced degree in statistics, computer science, applied mathematics, data science 
• Experience in data extraction and processing using SQL, or other query language 
• AWS or Azure machine learning platform knowledge 
• Data-oriented personality, with good communication and documentation skills. 
• Experience working on a remote team 
• Experience in basic networking a plus

Why Join Riverbed

Riverbed offers a rewarding experience of working with the best minds in the industry, delivering exceptional network performance and visibility for any application. We are proud of our great culture that continuously fosters innovation, collaboration, and diverse work environments. We remain committed to attracting, developing, and retaining the most diverse group of talent to better serve our customers.