Senior Data Scientist (ML Platform)

Location: Stockholm, Sweden — hybrid

Company

hirify.global develops technology that helps households use electricity more sustainably and affordably through connected electric vehicles, smart thermostats, and other smart devices.

What you will do

• Lead the development and evolution of the ML platform, including model registries, versioning, monitoring, drift detection, and automated retraining.
• Develop and deploy forecasting, optimization, and personalization models for Smart Charging and dynamic pricing products.
• Connect model quality with realized savings per kWh through counterfactual evaluation and decision-quality metrics.
• Review code, establish best practices, and help shape the use of LLM and agentic AI tools in data science.
• Own the end-to-end lifecycle from problem framing and data sourcing through production deployment and continuous improvement.

Requirements

• Proven experience building production-grade ML platforms with drift detection, model registries, and CI/CD workflows.
• Deep technical skills in Python.
• Hands-on experience with cloud ML infrastructure such as Databricks MLflow, AWS SageMaker, or an equivalent platform.
• Deep expertise in at least one of time-series forecasting, optimization algorithms, or personalization at scale.
• Ability to build repeatable workflows, onboard experienced peers, handle ambiguity, and communicate complex data concepts to product and engineering stakeholders.

Nice to have

• Experience with energy time-series data, smart charging, or grid optimization.

Culture & Benefits

• Work in a mission-driven environment focused on energy independence and more resilient electricity grids.
• Collaborate with colleagues across Stockholm, Oslo, Berlin, Amsterdam, and Førde.
• Work in an environment that values autonomy, curiosity, continuous improvement, and diverse teams.
• Use AI as an increasingly central part of modern work and data science.