13 часов назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Designing and deploying end-to-end ML models and agentic pipelines for personalized sales experiences with an accent on tabular data, time series analysis, NLP, and production deployment. Focus on solving complex business problems, building scalable ML systems, and monitoring and maintaining solutions that improve engagement, revenue, and retention.
Location: Tel Aviv, Israel; hybrid model with 3 days per week in the office
Company
is building AI-first features that personalize the sales experience through data science and machine learning.
What you will do
- Design and deploy end-to-end machine learning models that improve business metrics.
- Build robust and efficient agentic pipelines for personalized user experiences.
- Work with business stakeholders to define and prioritize problems for data science and machine learning solutions.
- Own solutions end to end, including success criteria, deployment, monitoring, and maintenance.
- Collaborate with machine learning engineers, product managers, and data engineers.
- Participate in research sessions to test new ideas and share knowledge.
Requirements
- 4+ years of hands-on data science experience, including development of machine learning systems.
- MSc or PhD in a relevant quantitative field with a thesis.
- Proficiency in Python and experience with Spark, Pandas, NumPy, SciPy, and scikit-learn.
- Experience with tabular data, time series analysis, and robust, scalable machine learning pipelines.
- Experience with text-based data and NLP is required.
- Experience with agentic flow development and deploying end-to-end ML models into production is required.
Nice to have
- Experience training models for adaptive or individualized user experiences.
- Experience with Big Data technologies such as Spark and Databricks.
Culture & Benefits
- AI-first development environment focused on fast execution and building practical solutions.
- Weekly sessions for research sharing, testing new ideas, and collaborative learning.
- Hands-on use of AI development tools such as Cursor or Claude Code is required.
- Hybrid work arrangement with regular office presence in Tel Aviv.
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