Senior Data Scientist (Remote from Denmark)

Position Overview

This position is posted by our organization on behalf of a partner company. We are currently looking for a Senior Data Scientist in Denmark.

In this role, you will join a mission-driven, globally distributed environment where data plays a central role in advancing large-scale community and impact initiatives. You will work within a complex data ecosystem, transforming diverse data sources into reliable pipelines, dashboards, and insights that support strategic decision-making. The position offers broad exposure across programs, partnerships, and grant-funded initiatives, with a strong emphasis on ethical data use and accessibility. You will collaborate closely with cross-functional teams, enabling leaders to measure outcomes, adapt strategies, and continuously improve impact. This role combines hands-on technical work with analytical thinking and stakeholder communication. It is well suited for someone who enjoys building resilient data foundations while influencing real-world outcomes at scale.

Accountabilities

• Design, build, and maintain robust data pipelines and data models to support program outcomes, grant-funded activities, and long-term impact measurement.
• Develop and maintain self-service dashboards and reports that enable teams and leadership to make informed, data-driven decisions.
• Analyze trends and patterns across multiple datasets to surface actionable insights that guide strategy, partnerships, and program interventions.
• Define and improve data processes, including ETL workflows, aggregation, and storage, to ensure efficiency, reliability, and scalability.
• Collaborate with cross-functional data and technology teams to align metrics, methodologies, and reporting standards across the organization.
• Proactively identify gaps, requirements, and opportunities to strengthen and evolve the broader data ecosystem.

Requirements

• Fluency in English, with the ability to clearly communicate complex findings to both technical and non-technical stakeholders.
• Bachelor’s degree with at least five years of relevant experience, or a Master’s degree with at least three years of experience in data science, analytics, research, or a related field.
• Strong programming experience, particularly with SQL and Python, including API integrations, authentication, pagination, and JSON data handling.
• Hands-on experience with large-scale data processing and storage technologies such as Hadoop, Hive, Presto, and Spark.
• Proven experience with data visualization and dashboarding tools, such as Apache Superset, Looker Studio, or similar platforms.
• Solid working knowledge of collaborative tools, including Google Workspace and advanced spreadsheet usage.
• Strong problem-solving skills, sound judgment in selecting analytical approaches, and a continuous learning mindset.
• Familiarity with ethical data practices, privacy considerations, and responsible data management.

Benefits

• Competitive compensation aligned with experience, skills, and location.
• Fully remote-friendly work environment with flexibility and autonomy.
• Opportunity to work on meaningful, global-impact initiatives supported by data.
• Collaborative, inclusive, and international team culture.
• Professional development opportunities and exposure to complex, real-world data challenges.
• Comprehensive benefits package in line with local employment standards.