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8 дней назад

Data Scientist Team Manager (Machine Learning)

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

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TL;DR
Data Scientist Team Manager (Machine Learning): Leading a multidisciplinary team developing statistical and machine learning algorithms, large-scale data pipelines, and digital intelligence insights with an accent on people management, production ML, and complex algorithmic challenges. Focus on guiding research-to-production workflows, validating data processes, collaborating with product and R&D teams, and shaping product strategy in a startup-like environment.

Location: Tel Aviv, hybrid

Company

hirify.global is a digital intelligence platform providing data-driven insights, competitive benchmarks, and strategic analysis to more than 3,500 global customers.

What you will do

  • Manage a multidisciplinary team of data engineers, data scientists, and data analysts.
  • Lead the development of advanced solutions for complex technical challenges in big data and machine learning.
  • Guide statistical and machine learning algorithm development on large-scale data.
  • Own data processes and pipelines from research and proof of concept through production.
  • Collaborate with data extraction, platform, product, and R&D teams to deliver digital insights.
  • Hire team members, develop the group structure, and contribute to product strategy.

Requirements

  • Master’s degree or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • 3+ years of experience developing machine learning and statistical algorithms in production.
  • At least 1 year of people management experience is required.
  • Strong experience with big data and machine learning production pipelines.
  • Strong problem-solving and interpersonal communication skills.

Nice to have

  • Familiarity with the web, internet, app, or online industry.

Culture & Benefits

  • Work on challenging algorithmic problems and solve problems for real customers.
  • Open dialogue and support for employee ideas and initiative.
  • Competitive compensation and benefits.
  • Regular team outings and social events.
  • Career development through coaching, learning solutions, and opportunities to move across departments.
  • Commitment to inclusion, equality, and mutual respect.

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