Data Science / Machine Learning developer
Data Science / Machine Learning developer
Webiz International
Tbilisi, Georgia
See who Webiz International has hired for this role
🚀 On behalf of eToro, Webiz is looking for a Data Science / Machine Learning developer join the team on a full-time basis.
Company Description:
eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.
⚡️What will you be doing?
Research, Design, Implement and Deliver analytics-based algorithms to solve key business
- Design and implement data driven features that will be integrated into company’s key products
- Design and implement full data mining and machine learning cycles
- Data sources extraction, feature selection and engineering
- Building Models
- Evaluation and improvements
- Interface with R&D Groups
- Product managers, BI teams and business stakeholders
⚡️Requirements:
● BSc Degree in Computer Science, Information Management, Industrial/Electronics
Engineering or related fields (MSc/Phd is an advantage)
● Practical hands on experience/knowledge in developing algorithms in the fields of
data science, machine learning or similar (experience in fields of trading/fintech –BIG
advantage)
● 3+ years experience in researching and implementing algorithms using Python
● Excellent programming skills and deep knowledge of machine learning. Not
knowledge of packages but rather knowledge of how things work
● Fluency in SQL
● Experience with Big Data is an advantage
● Strong analytical skills and original thinking
● Strong system level understanding of problems
● Independent and innovative with the ability to lead problem definition and goal
definition processes
● Good communication skills
● Ability to simplify complex subjects
● High level of English
-
Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Information Technology & Services
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