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2 месяца назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland/Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Data Scientist (AI) (Causal Inference/Pricing): Designing causal-uplift measurement frameworks and experimentation approaches to quantify the incremental impact of pricing models, with an accent on multidimensional data discovery and business-oriented ML evaluation. Focus on uplift modeling, A/B testing, translating airline business logic into technical pipelines, and communicating findings to technical and executive stakeholders.

Location: Wrocław, Poland

Company

hirify.global builds transparent, AI-powered market models that provide demand predictions and real-time decision intelligence for commercial teams, initially serving the aviation industry.

What you will do

  • Design and operationalize causal-uplift measurement frameworks for pricing models.
  • Discover and analyze complex multidimensional data to generate actionable insights into pricing algorithms and their outcomes.
  • Research and test novel approaches to uplift measurement and A/B testing.
  • Collaborate with revenue managers, data analysts, and data engineers to encode airline business logic into models and technical pipelines.

Requirements

  • At least 5 years of hands-on data analytics and data science experience, with a record of turning models into business insights.
  • Proficiency in Python and common analytics and machine learning tools, including pandas, NumPy, scikit-learn, and statsmodels.
  • Experience assessing the business performance and impact of machine-learning-powered systems.
  • Proficiency in SQL and Git; BigQuery, Dataform, and GCP experience is an advantage.
  • Strong communication, storytelling, stakeholder-management, and requirements-translation skills, including presenting to C-level executives.
  • Bachelor’s or master’s degree in economics, statistics, mathematics, or a related field; a PhD is an advantage.

Nice to have

  • Domain knowledge in airlines, transportation, logistics, or vacations.
  • Experience with causal inference, uplift modeling, anomaly detection, or pricing algorithms.
  • Knowledge of mathematical optimization.

Culture & Benefits

  • Self-driven, independent, and motivated approach to problem-solving.
  • Collaboration across data science, revenue management, analytics, and engineering functions.
  • Focus on supporting teammates and meeting product deadlines.

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