🏆 About the role
A Lead Data Scientist will be responsible for addressing the immediate needs around data collection and organization, as well as running experiments in order to validate key assumptions.
🛠 Skills & Requirements
● Python experience
● Prior experience with machine learning or computer vision
Soft-skill requirements:
● independent personality
● able to make decisions
● able to speak with the other teams and people
💎 Areas of Expertise which will be a plus
Engineering Management
● Building and leading a team
● Coordinating work between engineers and data scientists
● Making major technical decisions
● Reporting to other executives, adjusting strategies
Data Science
● Collecting and organizing data
● Running experiments, tracking results
● Pipelines for ergonomic algorithm exploration
● Validating assumptions, aligning overarching goals
DSP and Information Theory
● Target signal sources
● How to best encode signals
● Liaise with robotics/hardware
● ROI/signature/feature extraction
Computer Vision and Image Processing
● Image preprocessing
● Image matching/transformations
● ROI/signature/feature extraction
● non-ML full solutions
Machine Learning and CV in ML
● ML model selection
● Training and deployment
● Hyperparameter tuning
● ML pipelines/full solutions
Software Engineering
● Production architecture
● Component I/O
● Production deployment
● Developer tools and codebase organization
🏆 Why it's great to work with us
The Swiss non-profit foundation uses artificial intelligence (AI) on decentralized computing to identify, authenticate and unlock the powers of ownership for objects of value.
As the first pan-industry platform, we generate new value opportunities for some of the largest consumer asset classes in the world, including art, digital media and luxury goods.
Founded in October 2020, operates globally in major technology and blockchain hubs, including its research and development division.