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1 день назад

Senior Data Scientist Consultant (Machine Learning)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Turkey
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Scientist Consultant (Machine Learning): Contributing to consultative solutions for hirify.global clients, focusing on identifying problems and providing analytical solutions across the customer lifecycle and for regulatory parameter estimation. Accent on designing solutions using machine learning and data mining techniques, ensuring high-quality project delivery, and fostering client relationships for business growth. Focus on developing and implementing advanced machine learning models, managing complex analytical projects, and providing expert consultation within the banking and telecommunications sectors.

Location: Hybrid, Istanbul, Turkey

Company

hirify.global is a global data and technology company empowering opportunities for people and businesses, leveraging data, analytics, and software in various markets including financial services, healthcare, and insurance.

What you will do

  • Contribute consultatively to identify problems and provide analytical solutions for clients.
  • Design customer lifecycle and regulatory parameter estimation/validation solutions based on best practices.
  • Suggest market solutions, produce proposals, and lead analytical projects.
  • Develop relationships with client management to achieve project goals.
  • Identify opportunities to grow business, enhance existing solutions, and cross-sell.
  • Conduct feasibility studies to support sales activities.

Requirements

  • Degree in Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research, or Data Science from a top university.
  • 3+ years of experience preferably in analytics and consultancy related areas, with a track record in project partnership.
  • Strong knowledge and experience in Banking and Telecommunications sectors (e.g., Credit risk management, Basel Accord, IFRS9).
  • Proficiency in programming and data preparation tools like SAS, SPSS, SQL, Python, and preferably R, Scala, C/C++.
  • Experience with various machine learning techniques including clustering, regression, neural networks, SVMs, trees, and ensemble methods.
  • Fluency in written and spoken English.

Culture & Benefits

  • Personal development through career pathways, learning programs, and unlimited access to online educational resources.
  • Excellent work conditions with a friendly environment, recognized team spirit, and fun and quality recreation time.
  • Social benefit package including food vouchers, private health insurance, monthly flex allowance, and internet coverage.
  • Opportunity for flexible working hours and Home Office.
  • Commitment to DEI, work/life balance, development, authenticity, engagement, and collaboration.

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