CSRO ( Chief Science and Research Officer )

QUANTHRONEX; Paris; Hybride; EUR 80 000 - 120 000; Plein temps

Résumé du poste

A pioneering deep tech company in Paris is seeking a founding Chief Science and Research Officer (CSRO) to lead the development of an innovative AI platform for Energy-Finance systems. This role requires a driven scientific leader with extensive experience in ML and AI implementation. Responsibilities include building and validating the platform, data integration, and optimizing models. Candidates should have a PhD or MSc in relevant fields along with strong communication skills in English and preferably another language. The company offers competitive compensation, equity ownership, and flexible working options.

Prestations

Performance Bonuses

Equity Ownership

Health and Wellness benefits

Generous Paid Time Off

Research and Development Budget

Remote Work Options

Qualifications

• Hands-on experience building advanced ML systems in production.
• Strong publication record in relevant fields.
• Experience with advanced forecasting systems.

Responsabilités

• Build, integrate, and validate the AI platform for energy-Finance systems.
• Implement functional algorithms using real operational data.
• Develop optimization models for applications in energy systems.

Connaissances

ML / AI Implementation

Causal inference

Probabilistic modelling

Predictive modelling

Optimization Algorithms

Data Integration

Python Engineering

Formation

PhD in Machine Learning, Applied Mathematics or related

MSc in a relevant field with 5 years experience

Outils

Python

C++

Rust

Description du poste

About QUANTHRONEX

QUANTHRONEX is a Paris-based deep tech company developing breakthrough innovations across energy, financial infrastructure, and advanced computing.

🇫🇷 Paris | 🇪🇺 Europe | 🌍 International

Role Overview

We invite you to join us as our founding CSRO (Chief Science and Research Officer), where you'll lead the scientific and algorithmic development of a pioneering AI platform for Energy‑Finance systems, building on a patent‑pending methodology filed. We're seeking a forward‑thinking scientific leader who can drive innovation and scale our growth.

Key Opportunities

• Performance Bonuses : Attractive, performance‑based bonuses to acknowledge your contributions.
• Equity Ownership : Become a key stakeholder in revolutionary ventures and share in the company’s success.
• International Exposure : Collaborate closely with the CEO and CTO on global initiatives, traveling internationally to influence key markets and forge strategic partnerships.
• Challenging Projects : Take part in stimulating projects that challenge and expand the frontiers of technology and innovation.

Compensation & Benefits

• Competitive Compensation : Attractive salaries and comprehensive compensation packages that exceed industry norms (initially equity‑based; exceptional salary to be activated upon funding).
• Equity Stake : Be a part of our growth through equity participation in transformative ventures.
• Health and Wellness : Comprehensive health, dental, and vision insurance plans to support your well‑being.
• Generous Paid Time Off : Enjoy flexible time‑off policies that promote a healthy work‑life balance, with a minimum of 25 days annually to recharge and rejuvenate.
• Research and Development Budget : Dedicated funding for attending conferences, publishing research, and ongoing learning to keep you at the forefront of your field.
• Remote Work Options : Flexibility to work remotely, with periodic in‑person collaboration to enhance team cohesion.

Your mission

• Build, integrate, and validate the AI platform for energy‑Finance systems
• Implement functional algorithm using real operational data
• Develop optimization models for energy system applications
• Deliver prediction and forecasting capabilities for operational planning
• Ensure data integration with customer operational systems
• Generate validation documentation and pilot demonstration materials

Required Qualifications

Core Technical Competencies :

• ML / AI Implementation : Hands‑on experience building advanced ML systems in production
• Deep expertise in causal inference, probabilistic modelling, or Bayesian methods
• Experience with advanced forecasting systems or predictive modelling in complex domains
• Optimization Algorithms : Implementing numerical optimization methods
• Data Integration : Working with real‑world operational data
• Python Engineering : Production‑quality code + C++ / Rust
• Validation & Testing : Rigorous performance measurement and benchmarking

Required Background (One of the Following) :

Path A — Academic

• PhD (completed or in the final year) in Machine Learning, Applied Mathematics, Computer Science, Electrical Engineering, or related field
• Strong publication record or demonstrated technical depth

Path B — Industry

• MSc in a relevant field + 5 years in R&D or product engineering at a European energy or tech company
• Hands‑on experience building advanced ML / AI systems
• Proven track record of delivering production software

Preferred or Valuable

• Experience with energy systems or industrial applications
• Familiarity with French / EU research funding, institutions and universities
• Background in time‑series forecasting
• Experience supporting customer pilots or technical evaluations

Leadership Profile

• Research team leadership experience
• Strong project delivery track record
• Investor‑facing communication capability
• Strategic mindset for international scale‑up

Qualifications

• PhD or MSc : Machine Learning, Applied Mathematics, Computer Science, Electrical Engineering, or related

Language

Mandatory : Fluency in English AND at least one of the following :

• French (native or professional proficiency)
• German (native or professional proficiency)

Offer, Compensation & Benefits

• Competitive Compensation : Attractive salaries and comprehensive compensation packages that exceed industry norms (initially equity‑based; exceptional salary to be activated upon funding).
• Equity Stake : Be a part of our growth through equity participation in transformative ventures.
• Health and Wellness : Comprehensive health, dental, and vision insurance plans to support your well‑being.
• Generous Paid Time Off : Enjoy flexible time‑off policies that promote a healthy work‑life balance, with a minimum of 25 days annually to recharge and rejuvenate.
• Research and Development Budget : Dedicated funding for attending conferences, publishing research, and ongoing learning to keep you at the forefront of your field.
• Remote Work Options : Flexibility to work remotely, with periodic in‑person collaboration to enhance team cohesion.

Apply

CV + brief note on your interest.

At QUANTHRONEX, we believe diversity drives innovation. Applications from women are strongly encouraged for this leadership position.

We welcome exceptional talent regardless of location. visa sponsorship available for outstanding candidates.

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