2 дня назад
Data Scientist (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML) (Python/SQL): Building and operating prediction, clustering, and LLM-based solutions for an AI-powered last-mile delivery SaaS platform with an accent on end-to-end model ownership, production reliability, and data drift management. Focus on researching and validating new ML opportunities, monitoring and retraining deployed models, and engineering geospatial features for real-world delivery predictions.
Location: TLV, Israel
Company
provides an AI-powered SaaS platform for retailers and logistics providers to orchestrate last-mile delivery operations across different fleet types and service levels.
What you will do
- Research, prototype, and validate new machine learning opportunities before engineering implementation.
- Build prediction and clustering models using supervised and unsupervised learning methods.
- Own the data science and algorithm lifecycle from initial idea through production deployment.
- Monitor feature and prediction drift, configure alerting, and retrain models as data changes.
- Explain model logic, tradeoffs, and results to engineering, product, and business stakeholders.
- Build selected production solutions with LLMs and multimodal models.
Requirements
- 3+ years of experience as a Data Scientist.
- Strong Python, SQL, Jupyter Notebook, Pandas, scikit-learn, TensorFlow, and PyTorch skills.
- BSc in mathematics, computer science, statistics, or another exact science.
- Experience running models in production, including drift analysis, alerting, and model updates.
- Familiarity with the MLOps lifecycle and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
- Working knowledge of prompt engineering and building solutions with LLMs or multimodal models; ability to work independently on abstract problems.
Nice to have
- Experience with routing and navigation algorithms.
- Experience with Vertex AI or an equivalent cloud ML platform for training, deployment, and monitoring.
- Experience engineering geospatial features such as geohashing, latitude/longitude, ZIP-code and polygon-based features, or geofencing.
Culture & Benefits
- Work on infrastructure used by major global retailers.
- Operate in a fast-moving, agile environment with self-directed and curious colleagues.
- Take ownership of complex work while collaborating with others when needed.
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