Machine Learning Data Scientist Jobs

Smartech

Location:
Israel

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

We are seeking a Machine Learning Data Scientist to join our applied research team, where we develop real-time decision-making and recommendation systems for industrial production lines. You'll be responsible for developing robust and interpretable machine learning models that transform complex sensor data into actionable insights. This role requires a strong mix of analytical thinking, practical ML experience, and the ability to work with real-world, noisy datasets. You'll collaborate closely with deep learning researchers, research engineers, and domain experts to design experiments, evaluate model performance, and bring impactful solutions to production.

Job Responsibility:

Design, train, and evaluate machine learning models (e.g., classification, regression, clustering, ranking) for real-time industrial applications
Engineer meaningful features from raw sensor and control data
Analyze large-scale datasets to uncover patterns, define KPIs, and guide algorithm development
Validate model assumptions, monitor performance over time, and detect model drift or anomalies
Work with data engineers to define data requirements and prepare clean, structured datasets
Collaborate with research engineers to operationalize ML models in production environments
Document findings and present insights to both technical and non-technical stakeholders

Requirements:

B.Sc./M.Sc. in Computer Science, Statistics, Applied Mathematics, or related field
3+ years of experience applying machine learning to real-world problems
Strong skills in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost
Experience with feature engineering, model selection, hyperparameter tuning, and evaluation techniques
Solid understanding of statistics, data distributions, and uncertainty estimation
Hands-on experience working with messy, high-dimensional, or time-series data

Nice to have:

Background in industrial, sensor-based, or time-series prediction problems
Familiarity with anomaly detection and root cause analysis
Experience working closely with MLOps or deploying models to production
Comfort working in fast-paced environments with evolving data and priorities

Additional Information:

Job Posted:
December 12, 2025

View All Jobs In This Company

Job Link Share:

Machine Learning Data Scientist