Jobgether
Senior Data Scientist (Remote from Germany)
We are currently looking for a Senior Data Scientist in Germany. 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
Why Apply Through Jobgether? We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Internet Marketplace Platforms
Referrals increase your chances of interviewing at Jobgether by 2x
Get notified about new Senior Data Scientist jobs in Germany.
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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
Why Apply Through Jobgether? We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Internet Marketplace Platforms
Referrals increase your chances of interviewing at Jobgether by 2x
Get notified about new Senior Data Scientist jobs in Germany.
#J-18808-Ljbffr