Senior Data Scientist
- תל אביב
- משרה קבועה
- משרה מלאה
- Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
- Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
- Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
- Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
- Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
- Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
- Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.
- 5 + years of hands-on experience developing and deploying machine-learning or data-science solutions with Python and SQL.
- Proven, end-to-end experience building AI- and machine learning-based solutions from prototype to production deployment.
- Demonstrated success shipping data-intensive services to production on cloud infrastructure (AWS preferred) using data tools such as PostgreSQL, Databricks, Spark, or Airflow.
- Deep understanding of machine-learning fundamentals and practical expertise with frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Expertise in machine learning metrics and quality control.
- Solid understanding of software-engineering best practices (including design patterns, data structures, and version control).
- Excellent interpersonal and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and collaborate across teams.
- Experience with Agile development in fast-paced, delivery-driven environments.
- Familiarity with CI/CD practices, containers, Kubernetes, and serverless or microservice architectures.
- Experience with geospatial analysis, government data, survey research, or civic-tech applications.
- A track record of contributing to open-source projects.
- A college or graduate degree in a relevant field.
- Lead and mentor a small full-stack...
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