Location: Helsinki, Finland or Remote EU

About Us:

ICEYE is a Finnish New Space company with the largest constellation of commercial synthetic aperture radar (SAR) satellites in space today. Our employees come from over 57 countries spanning expertise from areas including engineering, software development, data science, remote sensing, and radar technology.

Within ICEYE, the Solutions Team is dedicated to developing applications that mitigate damage from, quantify the impact of, and handle the outcome of global natural catastrophe events. We are looking for a Senior Data Scientist to help develop, experiment, and critically assess our natural catastrophe solutions product.

Position Overview:

As a Senior Data Scientist at ICEYE, you will dive deeply into our existing data lake of natural catastrophe analyses, meteorological data, and other auxiliary data to assess geographic and time series trends to aid in product performance improvements. You will help establish cloud-based workflows and algorithms that leverage time series and spatial data to support the development and implementation of ICEYE business solutions in the domain of natural catastrophe monitoring.

Key Responsibilities:

• Data Analysis, Modeling, and Insight Generation:
• Use deep domain expertise to help develop and improve new analytics capabilities in natural catastrophe domains.
• Analyze complex datasets to identify patterns, trends, and insights that can inform product development and optimization strategies.
• Leverage statistical and machine learning models to understand user behavior, product performance, and market dynamics.

• Cross-functional Collaboration:
• Work closely with product managers, engineers, and researchers to integrate data insights into product design and development processes.
• Leverage your excellent communication skills to present technical information to stakeholders and executive teams to inform strategic decisions.
• Data-driven Product Improvement:
• Identify opportunities for product improvements and new features based on data analysis and modeling outcomes.
• Design and implement A/B tests or other experimental frameworks to validate improvements or new features before full-scale deployment.
• Mentorship and Leadership:
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team.
• Lead cross-departmental initiatives to promote a data-driven culture across the organization.