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17 часов назад

Data Scientist - Strategic Analytics Team (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
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
Data Scientist - Strategic Analytics Team (Python): Designing analytical solutions and predictive models that transform large, complex datasets into actionable insights for business decision-making with an accent on statistical modeling, data integration, and machine learning. Focus on building modeling-ready data assets, tuning forecasting and risk models, automating solutions, and mentoring data science peers.

Location: Carlow, Ireland; hybrid work arrangement

Company

hirify.global’s Technology Centre in Carlow provides software development and IT services supporting hirify.global, a US income protection provider.

What you will do

  • Design and execute analytical solutions using optimization, simulation, data mining, and statistical methods.
  • Integrate high-volume data from Snowflake, DB2, SQL Server, Web API, and Teradata.
  • Apply validation, aggregation, and reconciliation techniques to build modeling-ready data frameworks.
  • Construct and tune predictive models for explanation, forecasting, risk scoring, and clustering.
  • Interpret results and communicate findings to managers and leadership to support business decisions.
  • Automate solution integration into existing business processes and provide support, training, and mentorship to junior data science colleagues.

Requirements

  • Bachelor’s degree in a quantitative field; a Master’s degree is preferred.
  • 4+ years of professional or equivalent relevant experience.
  • Strong experience with Python or R, complex SQL, statistical inference, regression, machine learning algorithms, feature selection, and model deployment.
  • Expertise in at least two core data science areas, including programming, data visualization, statistical modeling, or data extraction, transformation, and loading.
  • Strong communication, prioritization, attention to detail, and ability to manage multiple projects independently.
  • Experience in financial services and demonstrated ability to work with senior management and executive leadership.

Nice to have

  • Experience with multiple data visualization tools and dynamic data visualization.
  • Leadership, coaching, mentoring, change management, proof-of-concept, and prototyping experience.
  • Entrepreneurial mindset, results-oriented problem-solving, curiosity, and experience working in diverse teams.

Culture & Benefits

  • Flexible working arrangements, including hybrid work, with initiatives supporting employee well-being.
  • Continual learning programs, IT certifications, and third-level tuition reimbursement.
  • 25 days of annual leave, paid health insurance, pension scheme, and annual performance-based bonus.
  • Paid maternity, paternity, and adoptive leave, reward programs, and opportunities to participate in charity and community activities.

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