Senior Data Scientist (Remote from France)

Medium; À distance; EUR 70 000 - 90 000; Plein temps

Résumé du poste

An innovative data organization is seeking a Senior Data Scientist to join their team in France. The role involves designing and maintaining data pipelines, developing dashboards, and collaborating with cross-functional teams to drive strategic decision-making. Ideal candidates should possess strong programming skills in SQL and Python along with experience in data visualization tools. This position offers competitive compensation, a remote-friendly work environment, and the chance to work on meaningful global initiatives.

Prestations

Competitive compensation

Fully remote-friendly work environment

Professional development opportunities

Inclusive team culture

Comprehensive benefits package

Qualifications

• 5+ years of experience in data science or analytics, or 3+ years with a Master's.
• Hands-on experience with large-scale data processing technologies.
• Solid knowledge of data ethics and privacy considerations.

Responsabilités

• Design and maintain data pipelines and models for program outcomes.
• Develop self-service dashboards and reports for decision-making.
• Analyze trends and patterns to provide actionable insights.
• Define and improve data processes for efficiency and scalability.
• Collaborate with teams on metrics and reporting standards.
• Identify gaps and opportunities to strengthen the data ecosystem.

Connaissances

Fluency in English

SQL programming

Python programming

Data visualization

Problem-solving skills

Collaborative tools use

Formation

Bachelor’s degree or Master’s degree in Data Science or related field

Outils

Hadoop

Hive

Presto

Spark

Apache Superset

Looker Studio

Google Workspace

Description du poste

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

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.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.