Position: Data Scientist
Company: BrickRed Systems
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2021-08-01T00:00:00+03:00

**Description**
This position offers tremendous opportunities to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 pro teams, international, and college teams. Our systems are highly complex and contain petabytes of data and video requiring extremely talented engineers to maintain the scale and efficiency of its products.
As a member of Our team, its engineering team will contribute to the ongoing development of Our revolutionary online sports data and video delivery solutions, building applications such as:
•	Sports Workflow Applications
•	Sports Analytic Systems
Our work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in English.
We are a globally distributed team and we work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company is deadline driven and provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well being of our team and their loved ones.
Note: This is a fully remote job and your physical location can be anywhere in Europe.
**Requirements:**
•	3+ years of experience in data science or data engineering related role
•	Demonstrated, creative problem-solving using data analysis
•	Applied experience with regression analysis and other statistical modeling techniques
•	Strong proficiency in Python
•	Fundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..)
Bonus Superpowers:
•	Experience scaling and operationalizing data science models in production settings
•	Experience working with MongoDB, MySQL, or other relational/noSQL databases
•	Software engineering background
•	Sport-specific analytics experience
•	Previous experience leading a team
**Benefits**
•	Work remotely on a fully distributed and asynchronous team.
•	Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
•	A-players only. Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.
•	A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
•	Competitive salary based on your experience.
Offer:
— High compensation according to your skills
— Interesting and challenging vacancies
— 5-day working week, 8-hour working day, flexible schedule
— Democratic management style & friendly environment
— Full remote job (Possibility to work from home)
— Annual Paid vacation
— Paid sick leaves
— Ukrainian official holidays
— Professional and personal growth
-The comfortable and supportive working atmosphere. You’ll join a friendly welcoming team of experienced colleagues.
-Stability. In the modern world, our product is in high demand, and this means that you will be joining a business with exciting challenges and a stable income.
- Working as Private Entrepreneur