Riverbed. Empower the Experience Riverbed transforms data into actionable insights and accelerates performance so organizations can deliver a seamless digital experience and drive enterprise performance.
Riverbed is the only company with the collective richness of telemetry from network to app to end user, that illuminates and then accelerates every digital interaction.
and Riverbed Acceleration, providing fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of partners, and market-leading customers globally including 95% of the FORTUNE 100 , we empower every click, every digital experience.
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.
Check us out on : www.riverbed.com LifeAtRiverbed *LI-RA1Riverbed 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.
Check us out on : www.riverbed.com LifeAtRiverbed *LI-RA1Responsibilities 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
