Data Scientist (AI)

TL;DR

Data Scientist (AI): Developing and implementing state-of-the-art econometric and machine learning models for demand forecasting with an accent on time-series analysis and deep learning. Focus on building scalable, production-ready ML systems that deliver measurable profit growth for global corporate partners.

Location: Wrocław, Poland

Company

hirify.global builds responsible AI that transforms market complexity into measurable profit growth through proprietary demand prediction models.

What you will do

• Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
• Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
• Collaborate with cross-functional teams including product, data engineering, and MLOps to deploy ML systems in production.
• Communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

Requirements

• 5+ years of hands-on experience in data science and machine learning.
• Proficiency in Python and its ML/data stack including PyTorch or TensorFlow, Pandas, NumPy, and Scikit-learn.
• Expertise in time-series forecasting, ideally Deep Learning based.
• Experience with feature engineering, feature importance testing, and model explainability.
• Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field.
• Solid understanding of ML production workflows including versioning, testing, and deployment.

Nice to have

• Publications in top-tier, peer-reviewed ML/AI venues.
• Experience applying ML in finance, trading, or revenue management.
• Familiarity with GCP platform services like Vertex AI, PubSub, and Cloud Run.
• Experience with Docker, CI/CD, and cloud-native architectures.

Culture & Benefits

• Opportunity to work in a high-growth startup environment.
• Focus on building impactful, industry-agnostic AI systems.
• Collaboration with global corporate partners in aviation and other volatile markets.