Data Scientist

Job not on LinkedIn

🕒 September 23, 2025

🏢🏡 null – Hybrid

💵 $170k - $225k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Versa Networks

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

📡 Telecommunications

🔒 Cybersecurity

🏢 Enterprise

Telecommunications • Cybersecurity • Enterprise

Versa Networks is a leader in the Secure Access Service Edge (SASE) and Software-Defined Wide Area Network (SD-WAN) markets, recognized for its innovative and comprehensive solutions. The company offers a range of products that integrate networking and security functionalities, featuring AI-powered threat protection, advanced security measures, and genuine multitenancy. Versa's platforms support versatile deployment options across the cloud and on-premises, emphasizing a unified approach to secure connectivity for users, devices, and networks. Its solutions help organizations transform their IT infrastructure by simplifying management and reducing complexity, which is reflected in various industry-specific applications, from telecommunications to financial services.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Competitive compensation and incentives, including pre-IPO equity • Comprehensive medical, dental, and vision insurance plans • Paid Time Off (vacation days, sick leave, and paid holidays) • Flexible work environment (remote and hybrid options) • Professional development (training, certifications, and educational resources) • Employee recognition programs and awards • Generous parental leave policies