Data Scientist
Riverbed Technology
San Francisco, United States of America
29 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
San Francisco, United States of America
Tech stack
Data analysis
Artificial Neural Networks
Data Mining
Data Visualization
Query Languages
Software Debugging
Programming Tools
Statistical Hypothesis Testing
Python
Machine Learning
NumPy
DataOps
SQL Databases
Data Processing
Large Language Models
Deep Learning
Generative AI
Pandas
Matplotlib
Information Technology
Software Version Control
Software Library
Job description
- Analyze and model end-user, application, and networking data to provide actionable insights for our customers.
- Apply innovative analytics, statistics, and machine learning techniques that directly contribute to the design and development of new product features. Work end to end from data collection, exploration and modeling, visualization to communication of results.
- Explore, prototype, and implement GenAI techniques to design and deliver new product capabilities such as summarization, classification, and intelligent assistants.
- Collaborate with fellow data scientists, product, and engineering on projects starting from exploration and experimentation to production.
Requirements
We are currently looking for a skilled Data Scientist with a problem-solving attitude and a collaborative mindset. As an integral member of our team, you will analyze complex datasets, develop and implement statistical models that will help with decision taking and product development. We foster an environment of innovation, continuous learning, and provide growth opportunities in a supportive and inclusive setting., * Advanced degree in statistics, applied mathematics, data science, computer science
- Demonstrable understanding and practical application of statistical concepts with in-depth understanding of when to apply which concept, with particular focus on time-series forecasting, hypothesis testing, classification, clustering
- Proficient with Python with a focus on data processing packages (eg. pandas, numpy), machine learning libraries (eg. scikit-learn, statsmodels, scipy), and data visualization (eg. matplotlib, seaborn)
- Experience in data extraction and processing using SQL, or other query language
- Foundations of GenAI: LLM capabilities and limitations, prompt evaluation, Retrieval-Augmented Generation (RAG), agent-based workflows, and basic cost/performance considerations
- Foundations of deep learning: neural networks, NLP
- Basic knowledge of common development tools: version control, IDE, debugging
- Self-directed in data exploration and able to understand project requirements
- A strong communicator and presenter, translating complex concepts to a non-technical audience
- Data-oriented personality, with good communication and documentation skills
- Experience in basic computer networking is a plus
About the company
Riverbed, the leader in AI observability, helps organizations optimize their user's experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed's open and AI-powered observability platform and solutions optimize digital experiences and greatly improves IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally - including 95% of the FORTUNE 100 - we are empowering next-generation digital experiences., With a 20-year history of innovation, Riverbed is agile, yet proven, and we are disrupting the market with differentiated solutions that enable our customers to deliver secure, seamless digital experiences and accelerate enterprise performance While we are a 'customer-first' company, we are all about our people with a shared commitment to creating a global impact. We bring our best selves to work and pursue excellence, trust, and respect for one another. We welcome and encourage transparency and open communication throughout the company. We strive to be an inclusive, fair, and enjoyable workplace for our people globally and care about their wellbeing. We are committed to our people, partners, and customers while supporting the communities where we work and live. It's the Power of WE that binds us together.