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5 дней назад

Data Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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.

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