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HUBCYCLE

HUBCYCLE

www.hubcycled.com

1 Job

32 Employees

About the Company

We turn industrial side-streams into strategic (and sexy) ingredients. Plant-based side-streams account for 85% of total industrial food wastage. That’s an immense reservoir of unused resources. Our job is to make it available. Hubcycle creates new value chains based on side streams, and everybody benefits from that: clients, consumers, and the planet too.

Listed Jobs

Company background Company brand
Company Name
HUBCYCLE
Job Title
Analytical Data Scientist
Job Description
Job Title: Analytical Data Scientist Role Summary: Leverage advanced analytics and data science to bridge descriptive insights and predictive modeling, driving actionable business decisions across a dynamic, rapidly growing organization. Expectations: * Deliver data‑driven insights that inform strategy and operational improvement. * Build, test, and maintain high‑quality models and dashboards that translate complex data into clear, actionable outcomes. * Communicate findings and model implications effectively to both technical and non‑technical stakeholders. Key Responsibilities: * Analyze large, complex datasets to generate insights and business recommendations. * Define, build, and maintain dashboards, KPIs, and automated reports. * Conduct statistical analysis, exploratory data analysis, and feature engineering. * Develop, validate, and deploy predictive and explanatory models (regression, classification, clustering, time series). * Translate business questions into analytical use cases. * Ensure data availability, consistency, and quality across reporting systems. * Design and execute experiments, A/B tests, and performance measurement initiatives. * Communicate results and insights to stakeholders at all levels. Required Skills: * Minimum 5 years of experience in data science or advanced analytics. * Advanced proficiency in SQL, Python, and API integration. * Expertise in data visualization/business intelligence tools (Power BI, Tableau, Plotly, Metabase, or equivalent). * Strong statistical and modeling knowledge (regression, classification, clustering, time series). * Ability to translate technical solutions into business‑language explanations for diverse audiences. * Fluency in French and English. * Strong problem‑solving, prioritization, and communication skills. Required Education & Certifications: * Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. * Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Machine Learning – Specialty) preferred.
Avignon, France
On site
Mid level
20-01-2026