Lead Data Scientist

Newable; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A mission-driven startup in Paris is seeking a Lead Data Scientist to design and develop advanced data models to optimize energy systems. This role involves collaboration with engineers and experts to support the transition to carbon-free energy, requiring 5+ years of experience in data science and proficiency in Python or TypeScript. A passion for sustainability and strong communication skills are essential for this position.

Qualifications

• 5+ years of experience in building and deploying data products.
• Strong background in data science or a related field.
• Proficient in Python and/or TypeScript.

Responsabilités

• Develop and implement machine learning models for energy systems.
• Define long-term data architecture with the Founding Engineer.
• Lead exploration of new data sources and methodologies.

Connaissances

Data science

Machine learning

Python

TypeScript

TensorFlow

AWS

ML Ops

IoT data

Time-series analysis

Energy-related datasets

Description du poste

About Newable

Newable is a next-generation energy operator with a strong real estate focus, dedicated to accelerating the journey towards net zero for commercial real estate landlords. By leveraging data-driven energy systems and an attractive value creation model, we aim to make net zero a simple and profitable venture for landlords.

We are a mission-driven startup transforming the way commercial buildings are powered. Our goal is to replace carbon-based energy sources with decentralized carbon-free energy systems. But we don’t stop there: we operate and optimize these systems through advanced software and AI, which are key levers for both our environmental and financial performance.

We are looking for a Lead Data Scientist to join our team and work closely with the Founding Engineer to build and scale our data platform.

Mission

As a Data Scientist, you will play a pivotal role in shaping the data and AI strategy of Newable. You will design, develop, and deploy advanced data models and AI solutions to predict key inputs of our software, the energy needs of the buildings where we operate for instance. Your work will directly contribute to our mission of decarbonizing commercial real estate at scale.

You will collaborate closely with the Founding Engineer, energy experts, and implementation teams to ensure that our data products are robust, scalable, and aligned with business objectives.

Key Responsibilities

• Develop and implement machine learning models to predict, recommend, and optimize the performance of our energy systems.
• Collaborate with the Founding Engineer to define the long‑term data architecture and ensure seamless integration with the tech stack.
• Lead the exploration of new data sources and methodologies to enhance the accuracy and efficiency of our models.
• Work with cross‑functional teams to translate business needs into data‑driven solutions.
• Ensure data quality, security, and compliance with industry standards.

If you are interested by this offer, please fill the following form:

• https://grand-fortnight-1d0.notion.site/2a39f712b89a81bfb2deeb77f0149dba

Who You Are

• You have a strong background in data science, machine learning, or a related field, with 5+ years of experience in building and deploying data products.
• You are proficient in Python and/or TypeScript, TensorFlow/Pytorch. Experience with AWS and ML Ops.
• You have experience working with IoT data, time‑series analysis, or energy‑related datasets.
• You are entrepreneurial, autonomous, hands‑on, and thrive in a fast‑paced startup environment.
• You are passionate about sustainability and want your work to have a tangible impact on climate change.
• You are a strong communicator, able to explain complex technical concepts to non‑technical stakeholders.
• Bonus: Knowledge of the energy sector (e.g., procurement, flexibility, HVAC, BMS) is a plus.