Data Scientist

We are looking for a Data Scientist on behalf of our client, an innovative Israeli company at the forefront of neuro-tech solutions. The company develops a cutting-edge B2B SaaS platform that bridges the gap between neuroscience and wearable devices. Utilizing proprietary AI, advanced signal processing, and state-of-the-art infrastructure, they are shaping the future of human brain and neural system connectivity. Join a dynamic team passionate about advancing technology in this groundbreaking field.

Responsibilities

• Analyze and preprocess proprietary timeseries datasets to ensure data integrity and quality.

• Develop Python scripts for tasks such as data organization, segmentation, and preprocessing.

• Conduct statistical analysis, identify outliers, and manage mislabeled data to improve dataset accuracy.

• Train machine learning (ML) and deep learning (DL) models for classification and regression tasks on time series data.

• Collaborate with the backend team to implement and integrate ML models into the company’s systems.

• Stay updated with the latest academic advancements in deep learning, signal processing, and related fields.

• Work closely with a highly skilled ML/DL core tech team to drive innovative solutions.

Requirements

• A minimum of 3 years of experience in data science or development roles.

• Strong understanding of deep learning theory and its practical applications.

• Proficiency in Python for data analysis, modeling, and scripting.

• Familiarity with time series data and its challenges.

• Knowledge of signal processing techniques is a strong advantage.

• Strong problem-solving skills, attention to detail, and the ability to work effectively within a collaborative team environment.

Nice-to-Have Skills

• Experience with time series-specific machine learning frameworks and libraries.

• Familiarity with continuous integration pipelines for ML model deployment.

• Background in academic research or projects related to neuroscience or wearable devices.