Senior Product Analyst & Data Scientist, AI Cloud

Jobgether; France; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Career development

Flexible working

International exposure

Ownership of projects

Continuous innovation

Long-term growth

Job summary

Jobgether, partnering with a lead client in France, seeks a Senior Product Analyst / Data Scientist to drive product and commercial decisions using advanced analytics in an AI cloud environment.

You will own end-to-end analytical work, build datasets, define KPIs, and deliver actionable recommendations that improve capacity utilization and monetization strategies. This role collaborates with Product, Engineering, Finance, Sales, and Applied AI teams.

Qualifications

• 5+ years of professional experience in product analytics, data science, or related analytical discipline.
• Strong proficiency in Python and SQL, with solid understanding of statistics.
• Experience analyzing large-scale customer/product/usage data using statistical techniques.

Responsibilities

• Define, develop, and maintain core product and business metrics to support decision-making.
• Analyze usage patterns, customer health, retention risks, and growth opportunities.
• Collect, process, and analyze large-scale datasets to uncover trends and opportunities.
• Translate demand and objectives into capacity forecasts and resource allocation decisions.
• Monitor capacity utilization and optimize resource value.
• Design and evaluate pricing and packaging strategies.
• Develop data-driven recommendations for self-service and managed offerings.
• Take ownership of analytical projects from questions to production-ready solutions.
• Use Python, SQL, and statistical methods to generate reliable insights.

Skills

Python

SQL

Statistics

Data analysis

Job description

Jobgether, partnering with a lead client in France, seeks a Senior Product Analyst / Data Scientist to drive product and commercial decisions using advanced analytics in an AI cloud environment.

You will own end-to-end analytical work, build datasets, define KPIs, and deliver actionable recommendations that improve capacity utilization and monetization strategies. This role collaborates with Product, Engineering, Finance, Sales, and Applied AI teams.