Nvidia Senior Data Scientist 

Israel, North District 

896724669

What you’ll be doing:

• Develop and implement machine learning & deep learning models: Design research, develop, and deploy scalable models and algorithms that address complex business challenges in the manufacturing process. Apply various techniques such as supervised and unsupervised learning.

• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.

• Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

• Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure flawless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

• Master’s degree in Computer Science, Information Systems, Engineering, Statistics, or a related field.

• 5+ years of experience as a data scientist or a similar role, with a consistent record of successfully delivering ML / DL solutions.

• Demonstrated expertise in conducting clustering research.

• Experience with training models over tabular data.

• Strong programming skills in languages such as Python, R, or Java. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib.

• Deep understanding of machine learning algorithms, statistical models, and data structures.

• Familiarity with software development practices and version control systems (e.g., Git).

• Experience with experimental design, A/B testing, and evaluation metrics for ML models.

Ways to stand out from the crowd:

• Strong analytical thinking and problem-solving abilities, with a focus on applying ML techniques to real-world challenges.

• Ability to analyze complicated and wide data sets, identify patterns, and derive significant insights.

• Experience with Large Language Models (LLM) and Natural Language Processing (NLP).

• Proficient in training Reinforcement Learning models.

• Skilled in developing and conducting research in computer vision.

• Self-motivated with a goal to stay updated on the latest methodologies and machine learning technologies.