5 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/ML/NLP): Designing and deploying end-to-end machine learning models and agentic pipelines that personalize the sales experience and improve engagement, revenue, and retention, with an accent on tabular data, time series, text-based data, and production ML systems. Focus on solving complex business problems, building scalable pipelines, deploying models to production, and owning monitoring and maintenance in a hybrid Tel Aviv role.
Location: Tel Aviv, Israel; hybrid model with 3 days a week in the office
Company
builds AI-first features that personalize the sales experience and deliver measurable business value.
What you will do
- Design and deploy end-to-end machine learning models that improve engagement, revenue, and retention.
- Build robust, efficient, and scalable agentic pipelines for user-facing experiences.
- Apply classic and state-of-the-art machine learning techniques to complex business problems.
- Work with business stakeholders to define and prioritize problems for data science and machine learning solutions.
- Own solutions end to end, from defining success criteria through monitoring and maintenance.
- Collaborate with ML engineers, product managers, and data engineers while participating in research and experimentation sessions.
Requirements
- 3–5 years of hands-on data science experience, including developing 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 ML pipelines.
- Hands-on 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
- Builder-oriented, fast-paced, AI-first working environment.
- Weekly sessions for sharing research, testing new ideas, and learning together.
- Hands-on use of AI development tools such as Cursor or Claude Code is required.
- Full-time individual contributor position with hybrid office work.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →