Senior Data Scientist (AI/ML)

TL;DR

Senior Data Scientist (AI/ML): Developing, validating, and deploying data-driven models that enhance operational forecast performance and scalability, with an accent on ML/AI models for weather and ocean forecasts. Focus on designing transparent evaluation frameworks, analyzing error sources, and building robust data pipelines for production environments.

Location: Hybrid in Bergen or Oslo, Norway.

Company

hirify.global is a product company focused on unlocking the value of environmental data to help clients navigate a changing environment in the energy, shipping, and weather intelligence industries.

What you will do

• Develop, calibrate, and operationalize ML/AI models that enhance the accuracy and consistency of weather and ocean forecasts.
• Design and maintain transparent evaluation frameworks for both offline and live systems.
• Analyze sources of error, bias, and drift, and establish systems for continuous monitoring.
• Collaborate closely with experts in meteorology, oceanography, and related sciences.
• Build robust data pipelines for ingestion, quality control, and feature preparation.
• Optimize model performance and computational efficiency for real-time forecasting.

Requirements

• Experience in applied ML or Data Science, with a focus on time series, forecasting, or spatiotemporal modeling.
• Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/JAX/TensorFlow, XGBoost/LightGBM) and SQL; solid understanding of software engineering practices.
• Experience with probabilistic forecasting and uncertainty quantification.
• Practical MLOps experience, including feature stores, model registries, orchestration, containerization, CI/CD, and cloud platforms (AWS, Azure, or GCP).
• Strong background in experimental design, model validation, and statistical inference.
• Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, Physics, Engineering, or another quantitative field.

Culture & Benefits

• Global mission where you unlock the value of data to navigate a changing environment.
• Work alongside a smart, creative, and innovative team of professionals.
• Hybrid work model.
• International development opportunities for professional growth.
• Stimulating international environment that challenges, encourages, and supports.

Hiring process

• Apply for the position using the provided application link (email submissions are not considered).
• Suitable candidates will be reached out to continuously.