{"schemaVersion":"jobsearcher.job.v1","id":"b91fdadc323b695712d3cd76","url":"https://jobsearcher.com/jobs/b91fdadc323b695712d3cd76","canonicalUrl":"https://jobsearcher.com/jobs/b91fdadc323b695712d3cd76","title":"Data Scientist- Machine Learning & Security Analytics","description":"Job Title:\r\nData Scientist- Machine Learning & Security Analytics\r\nJob Location\r\nSanta Clara, CA\r\nWork Schedule\r\nHybrid 4 days onsite\r\nDescription\r\nWe are seeking a talented and motivated Data Scientist to join our Machine Learning team. 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 Security and Networking use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making\r\nResponsibilities\r\nData Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively.\r\nData 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.\r\nMachine Learning: Build, train, and evaluate custom machine learning models for security use-cases such as threat/vulnerability detection, including traditional algorithms like CNNs, LSTM, Boosted Decision Trees, DNNs as well as newer NLP/Vision models using Transformers, Mamba etc.\r\nModel 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.\r\nProblem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges, to continually improve training pipelines and optimize inference.\r\nCollaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.\r\nQualifications\r\nMaster's degree in computer science/engineering.\r\n4-5 years of experience in data science or a related field.\r\nStrong proficiency in Python programming language.\r\nExperience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn).\r\nKnowledge of machine learning algorithms and techniques.\r\nFamiliarity with deep learning frameworks (e.g., TensorFlow, PyTorch).\r\nExperience with natural language processing (NLP) and large language models (LLMs) is a plus.\r\nStrong problem-solving and analytical skills.\r\nExcellent communication and collaboration skills.\r\nPreferred Qualifications\r\nExperience with Go/Rust programming language.\r\nExperience working with threat modeling and detection, anomaly detection or related fields is a bonus.\r\nDistributed training frameworks such as RAPIDS, Dask, Ray is preferable.\r\nKnowledge of cloud platforms (e.g., AWS, GCP, Azure).\r\nExperience with data version control and MLOps frameworks such as MLFlow/ClearML.\r\nFamiliarity with cloud-native DevOps such Docker, K8s, Helm, Terraform.\r\nJ-18808-Ljbffr","company":"Maxonic","rawCompany":"maxonic","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T00:55:29.421Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist- Machine Learning & Security Analytics","description":"Job Title:\r\nData Scientist- Machine Learning & Security Analytics\r\nJob Location\r\nSanta Clara, CA\r\nWork Schedule\r\nHybrid 4 days onsite\r\nDescription\r\nWe are seeking a talented and motivated Data Scientist to join our Machine Learning team. 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 Security and Networking use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making\r\nResponsibilities\r\nData Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively.\r\nData 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.\r\nMachine Learning: Build, train, and evaluate custom machine learning models for security use-cases such as threat/vulnerability detection, including traditional algorithms like CNNs, LSTM, Boosted Decision Trees, DNNs as well as newer NLP/Vision models using Transformers, Mamba etc.\r\nModel 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.\r\nProblem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges, to continually improve training pipelines and optimize inference.\r\nCollaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.\r\nQualifications\r\nMaster's degree in computer science/engineering.\r\n4-5 years of experience in data science or a related field.\r\nStrong proficiency in Python programming language.\r\nExperience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn).\r\nKnowledge of machine learning algorithms and techniques.\r\nFamiliarity with deep learning frameworks (e.g., TensorFlow, PyTorch).\r\nExperience with natural language processing (NLP) and large language models (LLMs) is a plus.\r\nStrong problem-solving and analytical skills.\r\nExcellent communication and collaboration skills.\r\nPreferred Qualifications\r\nExperience with Go/Rust programming language.\r\nExperience working with threat modeling and detection, anomaly detection or related fields is a bonus.\r\nDistributed training frameworks such as RAPIDS, Dask, Ray is preferable.\r\nKnowledge of cloud platforms (e.g., AWS, GCP, Azure).\r\nExperience with data version control and MLOps frameworks such as MLFlow/ClearML.\r\nFamiliarity with cloud-native DevOps such Docker, K8s, Helm, Terraform.\r\nJ-18808-Ljbffr","datePosted":"2026-08-07T00:55:29.421Z","dateModified":"2026-08-07T00:55:29.421Z","hiringOrganization":{"@type":"Organization","name":"Maxonic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b91fdadc323b695712d3cd76"},"url":"https://jobsearcher.com/jobs/b91fdadc323b695712d3cd76"}}