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Machine Learning Data Scientist

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Smartech

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Location:
Israel

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Contract Type:
Not provided

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Salary:

Not provided

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

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