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Data Science Lead

  • Amsterdam, Noord-Holland, Netherlands

Job description

Coolgradient is a fast-growing green-tech start-up with a clear vision to make our digital footprint more sustainable.


Every swipe, every like, every TikTok video we upload, every Zoom call we have, every Netflix video we watch, or everything we buy online is all processed and depends on… data centers. However, these data centers consume large amounts of energy due to the underlying technology we use every day all day.


We have developed an AI-based analytics platform that captures the entire data center (DC) infrastructure—"from roof to room"—to bring the whole DC into a more optimal state. This platform saves energy, water, and scope 3 emissions while increasing reliability and sustainability in data centers across countries like Germany, France, the UK, Australia, and The Netherlands.

We seek a highly qualified Data Science Lead with extensive experience in setting up and scaling machine learning infrastructure, processes and teams.

What you’ll do

Being our Data Science Lead, you will be extremely important in integrating our ‘AI First’ principle within our global platform in 4 ways: people, processes, systems and models.

You will drive the design, development, deployment, and maintenance of scalable data science processes and systems. You’ll hire and manage a diverse (and potentially global) team of data scientists who support our mechanical data analysts in translating the complex context of a data center into effective and efficient (ML) models while speeding up the development and deployment process into a lean machine. Your outstanding and in-depth knowledge of (the latest) ML/ AI architectures and techniques allows you to make trade-offs in applying effective models to our data center optimization platform.

Additionally you will

  • Be able to perform hands-on model development and deployment activities.
  • Work closely with the AI research team to quickly identify new and potentially impactful developments in ML and AI.
  • Support and enthuse our product managers in their quest to develop and deliver a market-changing solution that has its foundation rooted in a relentless focus on cutting-edge AI.
  • Closely collaborate with our software engineers, MLOps engineers, and other stakeholders to ensure seamless integration of machine learning solutions into our products and services.

As such, this role represents a unique opportunity to have a broad impact on our organization and to contribute significantly to our technological evolution.

Job requirements

  • Degree in Artificial Intelligence, Computer Science , Mathematics or a Physics related field with abundant ML experience.
  • 5+ years of proven experience as a Data Scientist, preferably in a SaaS product domain.
  • 1+ years experience in hiring and managing a team of data scientists.
  • A preferred experience with ML/ AI that deals with physical processes and relations.
  • Experience with cloud platforms and containerization technologies.
  • Experience with one or more data science platforms like Dataiku, Databricks, DataRobot, etc.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Strong communication skills and ability to effectively convey technical concepts to non-technical stakeholders.
  • Strong pre: experience with on-prem ML model training, inference and deployment for production-grade solutions.
  • Pre: experience with advanced ML/ AI deployments within an industrial domain.


  • Working on making the world of data centers more sustainable
  • Enjoy a competitive salary, pension scheme, holiday allowance, and disability insurance.
  • Our goal is to increase our impact and grow. We want you to grow with us and offer an Employee Stock Option Plan.
  • A hybrid home-office-remote policy with flexible working hours where we value your regular presence to enjoy team dynamics, but we like to support the flexibility that fits your daily rhythm and preference.
  • Lots of mobility options, where we provide a public transportation subscription, or company bike, or we’ll reimburse your travels when you prefer to use your own means of mobility.
  • Lots of opportunities for professional growth and development.
  • Join activities like meetups or (business) events.
  • Work abroad with the team, where we combine good weather, a great environment, and good food.
  • And above all: a fun and enthusiastic team that values a diverse and transparent culture.


At our company, we highly appreciate and encourage diversity. We believe it is crucial to achieving success and being the responsible company we want to be. However, our company currently cannot sponsor any work visas.