Data Scientist

Maxonic, Inc.
Santa Clara, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Santa Clara, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Data Cleansing
Data Visualization
Machine Learning
Natural Language Processing
NumPy
TensorFlow
Google Cloud Platform
PyTorch
Large Language Models
Spark
Deep Learning
Model Validation
Pandas
Matplotlib
Information Technology
ONNX (Open Neural Network Exchange) Format
XGBoost
Machine Learning Operations
Software Version Control

Job description

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Data Scientist, We are seeking a talented and motivated Data Scientist to join the 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 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.

Requirements

  • Masters degree in Computer Science/Engineering.
  • 8+ 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, Google Cloud Platform, Azure).
  • Experience with data version control and MLOps practices.

About the company

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.

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