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Data Scientist / Algorithm Engineer
·Israel
Not specifiedFull-timeData ScienceRenewable Energy
Hands-on Data Scientist / Algorithm Engineer to research and develop data-driven models for complex industrial systems, using Python, machine learning and statistical modeling, and turn successful research into reliable product capabilities.
Responsibilities
- Research, develop and validate data-driven models for prediction, optimisation and decision support.
- Work with complex time-series and industrial data, including noisy, incomplete and changing operating conditions.
- Design experiments and evaluation approaches that make model performance, uncertainty and limitations clear.
- Turn successful research into tested, maintainable software and usable product capabilities.
- Collaborate with data scientists, engineers, developers and domain experts to solve multidisciplinary problems.
Requirements
- MSc, PhD or equivalent applied experience in data science, machine learning, applied mathematics, computer science, engineering or another quantitative field.
- At least 3 years of relevant professional or applied research experience in data science, modelling or machine learning.
- Strong Python, statistical-modelling and scientific-computing skills.
- Research mindset: ability to form hypotheses, review evidence, design sound experiments and document conclusions clearly.
- Ability to communicate technical ideas and results to both specialist and non-specialist colleagues.
Nice to have
- Academic or industrial research background, including publications or substantial R&D projects.
- Knowledge of physics, chemistry, chemical or process engineering, environmental engineering or biological systems.
- Experience with industrial processes, energy, biotechnology, wastewater or biogas.
- Experience moving models from research into production or customer-facing use.
- Experience working with multivariate time-series or other real-world datasets where data quality cannot be taken for granted.
Benefits
- Work on challenging scientific problems with direct industrial and environmental relevance.
- See your research move beyond analysis and become part of a real product.
- Join a multidisciplinary team and take meaningful ownership of an important technical area.