Data Scientist
Santa Clara, California, United States
Versa Networks
Explore Versa Networks' innovative solutions in networking and security. Transform your network infrastructure with cutting-edge technology.
About Us
Versa Networks, Inc. is a leading vendor of next-generation Software Defined solutions and architectures, called SASE (Secure Access Service Edge). Versa is providing an end-to-end solution that both simplifies and secures the WAN/branch office network.
The goal of Versa Networks is to provide unprecedented business advantages through a software-based approach that allows for unmatched agility, cost savings and flexibility. We have created a feature-rich, scalable yet simple to use software platform to implement many different enterprise and service provider use cases, including:
- Full software-defined branch for enterprise customers.
- Secure SD-WAN for enterprises with layered security.
- Next-generation managed services for service providers.
We are seeking a talented and motivated Data Scientist to join our Machine learning team.
Job Summary
In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Networking, Security and Language use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making.
- Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively.
- Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems.
- Machine Learning: Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc.
- Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc
- Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges.
- Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.
Qualifications
- Masters degree in Computer Science/Engineering.
- 4-5 years of experience in data science or a related field.
- Strong proficiency in Python programming language.
- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Knowledge of machine learning algorithms and techniques.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with natural language processing (NLP) and large language models (LLMs) is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Preferred Qualifications:
- Experience with Go programming language.
- Acceleration frameworks such as RAPIDS, Spark is preferable.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
- Experience with data version control and MLOps practices.
Our Benefits
Versa Networks is a small but rapidly growing organization. It is built by people with vast experience in the networking industry. We are a pragmatic team with a healthy work-life balance. We offer competitive compensation packages with pre-IPO equity. Additionally, we offer a quality of life benefit to everyone in an inspiring environment with skilled and passionate co-workers. Our exciting company culture offers a great place to work and most important, to have fun.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Classification Computer Science Data analysis Data visualization Deep Learning EDA Engineering GCP LLMs Machine Learning Matplotlib ML models MLOps Model deployment NLP NumPy ONNX Pandas Python PyTorch Seaborn Security Spark TensorFlow Transformers XGBoost
Perks/benefits: Career development Competitive pay Equity / stock options
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