What are the responsibilities and job description for the Data Scientist– Machine Learning & Security Analytics position at Maxonic Inc.?
Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Data Scientist
Job Title: Data Scientist- Machine Learning & Security Analytics
Job Type: Fulltime
Job Location: Santa Clara, CA
Work Schedule: Hybrid 4 days onsite
Description
We 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
Responsibilities
- 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 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.
- 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, to continually improve training pipelines and optimize inference.
- Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.
Qualification
- 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 (e.g., Pandas/Polars, 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/Rust programming language.
- Experience working with threat modeling and detection, anomaly detection or related fields is a bonus.
- Distributed training frameworks such as RAPIDS, Dask, Ray is preferable.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
- Experience with data version control and MLOps frameworks such as MLFlow/ClearML.
- Familiarity with cloud-native DevOps such Docker, K8s, Helm, Terraform.
About Maxonic
Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.
Interested in Applying
Please apply with your most current resume. Feel free to contact Jhankar Chanda (jhankar@maxonic.com) for more details..