Senior Data Scientist (Remote from US)
About the position 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. Responsibilities • 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 Apply tot his job