Senior data Scientist This is a unique opportunity to join the company at its early stages as one of its first employees, where you will be entrusted with the crucial task and the resources needed to shape the creation of a game-changing product with the potential to positively impact millions of lives.
Requirements: Senior data Scientist This is a unique opportunity to join the company at its early stages as one of its first employees, where you will be entrusted with the crucial task and the resources needed to shape the creation of a game-changing product with the potential to positively impact millions of lives. Key Responsibilities:
Own the complete life cycle of Machine Learning models.
Problem analysis, research / experiment definition, data preparation and exploration, model design, testing and validation, model deployment and refinement.
Establish and utilize a cloud-based data science management platform.
Create thorough documentation of model design, experiments, tests & validations.
Collaborate with external vendors to integrate data processes and ML models into the product. Job Requirements
Must Have
University degree in exact sciences, bio-sciences, statistics, engineering, economics, or neuroscience.
2+ years of proven experience in the development of ML models, within industry or advanced academic environment.
Knowledge in 'classical ML' regression and classification methods (linear, logistic, SVM, tree-based models, etc.).
Knowledge in implementation of different deep learning architectures and techniques- CNN, RNN, LSTM, Transformer, self-supervised, foundation models, etc.
Experience in implementation of ML/ DL techniques on time series data.
Experience in working with Python, TensorFlow / PyTorch. Strong Advantage
Advanced academic degree
Healthcare industry experience.
Experience with signal processing of bio-signals.
Biostatistics - including hierarchical modeling, Bayesian methods, power calculations.
GPU / TPU coding experience.
High coding proficiency in Python.
Experience with code development workflows in a command-line Linux environment.
Proficiency in clustering and unsupervised learning methods.
Experience with AWS or other cloud-based tools and technologies for data pipelining, model development and deployment.
Experience with setting up and working with a data science management platform such as MLFlow, DVC, ClearML, etc. Location Petah-Tikva.
This position is open to all candidates.