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2 дня назад

Principal Data Scientist (Fintech)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
principal
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Data Scientist (Fintech): Enhancing hirify.global's growth and customer experience by building and deploying intelligent, customized solutions using AI and ML technologies with an accent on improving customer offerings to be enjoyable, seamless, and cutting-edge. Focus on shaping Data Science principles and practices, driving impact for customers, and mentoring peers.

Location: Remote (Global)

Salary: Competitive Base Salary

Company

hirify.global Group is a subscriber-focused business intelligence company informing and connecting investment professionals across global, specialized markets.

What you will do

  • Develop and deploy machine learning models into production to enhance customer offerings.
  • Co-create and standardize Data Science delivery processes from discovery to production.
  • Utilize expertise in analytics and data storytelling to derive insights from user interactions.
  • Guide and empower teams to measure key metrics and run A/B experiments for continuous improvement.
  • Collaborate with engineers to ensure effective data collection for business insights.
  • Conduct deep analysis into hirify.global's operations to identify optimization opportunities.

Requirements

  • Advanced degree in a quantitative discipline.
  • Considerable knowledge and experience using advanced statistical techniques in an applied setting.
  • Ability to write production quality code in Python and SQL.
  • Proactive mindset, identifying issues and opportunities independently.
  • Commercially minded with excellent presentation and communication skills.
  • Comfortable with complexity and developing a holistic understanding of systems to build solutions.

Nice to have

  • Experience in Financial Data and/or Alternative Investments.
  • Interest in investing or financial modelling.
  • Knowledge graph experience.
  • Probabilistic programming experience (e.g., PyMC, Stan).
  • Causal Inference knowledge/experience.

Culture & Benefits

  • Supports flexible working arrangements.
  • Welcomes career returners.
  • Values diverse talent and promotes an inclusive culture.
  • Equal opportunity employer.

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