Position: Lead Data Scientist
Company: Make it in UA
Experience required: 5y
English level: upper

As the first pan-industry platform built on the Internet Computer (ICP), 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 located in Manhattan Beach, California.

For the first time in history, an object itself constitutes its own unique identity.

🏆 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 is a big plus, but may not be strictly necessary if you are able to learn fast and understand relevant technical documentation.

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:
(you do not need overarching expertise in all of these areas to make progress, but it would be great if you've got one of these):

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
For the first time in history, an object itself constitutes its own unique identity. And we make it happen.
We use lots of different technologies and if you're interested, you'll be able to grow and learn what you want
Working with a team of true professionals on exciting and challenging tasks
The opportunity to utilize your professionalism and talent, and grow more and more with us 
Laptop if needed 
Bonuses and incentives 
Vacation - standard amount of days (21-22)