Data Scientist

Versa Networks

full-time

Posted on: 9/23/2025

Origin: • 🇺🇸 United States • California, New York, Washington

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💰 $170,000 - $225,000 per year

Mid-LevelSenior

AWSAzureCloudDockerGoGoogle Cloud PlatformKubernetesNumpyPandasPythonPyTorchRayRustTensorflowTerraform

About the role

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns
Utilize data visualization techniques to communicate insights effectively
Ingest, clean, preprocess, and transform data; handle missing values, outliers, and inconsistencies
Label datasets appropriately for classification problems
Build, train, and evaluate custom machine learning models for security use-cases (threat/vulnerability detection) using CNNs, LSTM, Boosted Decision Trees, DNNs, Transformers, Mamba, etc.
Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability
Apply model quantization, model evaluation, and deploy models in formats like ONNX and GGUF
Improve training pipelines and optimize inference performance
Work with data engineers, analysts, and domain experts to translate business requirements into data solutions

Master’s 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 (Pandas/Polars, NumPy, Matplotlib, Seaborn)
Knowledge of machine learning algorithms and techniques
Familiarity with deep learning frameworks (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
Applicants must be authorized to work in the US
Preferred: Experience with Go or Rust
Preferred: Experience with threat modeling, detection, or anomaly detection
Preferred: Distributed training frameworks such as RAPIDS, Dask, Ray
Preferred: Knowledge of cloud platforms (AWS, GCP, Azure)
Preferred: Experience with data version control and MLOps frameworks such as MLFlow/ClearML
Preferred: Familiarity with cloud-native DevOps (Docker, K8s, Helm, Terraform)