← back to jobs
> job detail
P
👽Other

Data Scientist

Plat · Yerevan, Armenia
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Yerevan, Armenia
languages
tools
> description

We are seeking a motivated and detail-oriented Data Scientist to join our team focused on data and AI-related products. This role is suitable for mid-level professionals who are eager to contribute to the development and optimization of real-world business problems.


Plat.AI is a cutting-edge technology company that builds and utilizes ML and AI algorithms to empower businesses to make real-time decisions. We are a team of data scientists and machine learning engineers who work with clients to solve existing problems and proactively design new optimization tools. Our focus is on taking our clients to the next edge of innovation and development.



Responsibilities:
• Translate unstructured business problems into well-defined machine learning projects
• Collaborate with a cross-functional team of Account Managers to identify existing
problems on time, prepare modeling solutions, and apply them in real-time
environments.
• Build and deploy ML and DL models for real-time predictions
• Build model performance monitoring tools/use the existing tools in the system to keep
track of production-level models’ performance
• Prepare documentation for custom models
• Effectively communicate outcomes of analytics models to a non-statistical audience



Requirements:
• Degree in a quantitative discipline
• Relevant experience doing ML work either in financial services or technology company is
desired
• Experience designing, developing, and deploying machine learning models/algorithms
• Extensive programming experience in Python
• Experience in building custom dashboards is also desired,
• Knowledge of data structures and data engineering solutions is desired,
• Knowledge in Reinforcement Learning is a plus

• Intermediate or upper level of English


Benefits:
o People – the best part of Plat.ai
o Competitive compensation package
o Comprehensive medical insurance
o Wellness and sports expense contribution
o Professional development and educational programs
o Corporate events
o Remote working opportunities
o Day-offs
o Performance-based bonus
o Christmas bonus
o Annual salary review
o Staff referral program
o Employee loans system
o Baby-born package
o Employee wedding occasion