Project - the aim youll have
We are looking for a Senior Data Science to join one of our USA Clients a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on our back-end data pipeline and analytics stack and you will be responsible for building a range of features and data services from exploratory prototypes to robust hardened production implementations.
If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you!
Qualifications :
Expectations - the experience you need
- 7 years of experience in data science applied analytics or adjacent roles.
- Bachelors or masters degree in Computer Science Mathematics Physics Mechanical or Chemical Engineering Computational Statistics or a related technical field.
- Proven ability to work across unfamiliar data domains and quickly build understanding.
- Experience in industrial/manufacturing data (energy process or climate-related) is a plus.
- Strong programming skills in Python with experience writing production-quality code.
- Proven data analysis and statistics foundationable to recognize what makes a good analysis even if the AI is doing the heavy lifting.
- Experience designing dashboards and visualizations that communicate insights effectively.
- Strong critical thinking problem-framing and hypothesis-driven analysis.
- Excellent communication skills with a talent for data storytelling.
- Intellectual curiosity and ability to adapt quickly to new problem spaces.
- Comfort working in fast-paced startup-style environments.
Nice to have:
- Familiarity with modern AI/LLM tools and workflows.
- Prior experience configuring or extending agent-based or automated analytics systems.
- Exposure to cloud platforms (AWS/GCP/Azure) and data engineering concepts.
- Understanding of manufacturing and/or energy-related industrial challenges.
Our Benefits
- Educational resources
- Flexible schedule and Work From Anywhere
- Referral Program
- Supportive and chill atmosphere
We are accepting applications from LATAM countries
#LI-DNI
Remote Work :
Yes
Employment Type :
Full-time