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SeniorFull-timePythonAWSData ScienceGitAIAPI
Salary Range
$68,234 - $92,316 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Scientist to join a mission-driven, globally distributed environment where data plays a central role in advancing large-scale community and impact initiatives. This role involves transforming diverse data sources into reliable pipelines, dashboards, and insights that support strategic decision-making.
Key Responsibilities
- →Design, build, and maintain robust data pipelines and data models to support program outcomes and long-term impact measurement
- →Develop and maintain self-service dashboards and reports for data-driven decision-making
- →Analyze trends and patterns across multiple datasets to surface actionable insights
- →Define and improve data processes, including ETL workflows, aggregation, and storage
- →Collaborate with cross-functional teams to align metrics, methodologies, and reporting standards
Requirements
- ✓Fluency in English, with the ability to 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, or a related field
- ✓Strong programming experience with SQL and Python, including API integrations and JSON data handling
- ✓Hands-on experience with large-scale data processing technologies such as Hadoop, Hive, Presto, and Spark
- ✓Proven experience with data visualization and dashboarding tools like Apache Superset or Looker Studio
- ✓Solid working knowledge of collaborative tools, including Google Workspace and advanced spreadsheet usage
- ✓Strong problem-solving skills and a continuous learning mindset
- ✓Familiarity with ethical data practices 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
