Data Scientist
We are looking for a Data Scientist who will be responsible for developing, validating, and executing algorithms and predictive models to investigate problems, detect patterns, and recommend solutions. The Data Scientist will explore, examine and interpret large volumes of data in various forms. He/she will work on all the processes from data collection, cleaning, and preprocessing to training models and deploying them to production. The Data Scientist will be passionate about artificial intelligence and willing to learn and improve their skills.
Job Responsibilities
- Responsible for development, validation, and implementation of predictive models, learning algorithms, and analytics
- Responsible for development and application of appropriate quantitative methods (predictive models, statistical methods, etc.) for multiple integrated complex data streams
- Develop machine learning and deep learning models
- Evaluate and analyze the quality of the data
- Write production-level codes that are utilized by the AI models
- Study and research new techniques
- Perform other duties as assigned
Technical Qualifications
- Solid experience with Python frameworks like Numpy, Pandas, Scikit-Learn, Scipy, scikit image, Open-CV
- Proficiency in either Pytorch or Tensorflow frameworks
- Knowledge of a web framework (flask, Django…) is a plus
- Experience applying predictive modeling and/or machine learning methods to real-world systems
- Experience in automated data manipulation and cleaning
- Experience applying predictive modeling and/or machine learning methods to real-world systems
- Experience in basic data analytics, statistics, algorithms, and ability to visualize data
- Ability to test and verify the quality of the AI models
- Theoretical and practical knowledge of machine learning and deep learning techniques
- Understanding of classical machine learning techniques applied to tabular data, natural language processing, and computer vision
- Experience in famous and state-of-the-art deep learning techniques
Non-Technical Qualifications
- Excellent communications skills, both verbal and written, complemented by an ability to collaborate with the development team
- Good verbal and written skills in both Armenian and English languages
- Solid organizational, time management, and prioritization skills
- Strong analytical skills with the ability to collect, organize, analyze, and extend a significant amount of information with attention to details and accuracy
- Deep interest in learning both the theoretical and practical aspects of working with and deriving insights from data
- Ability to scope, manage and execute assigned projects with effective data visualization
Education and Requirements
- A minimum of a Bachelor’s degree in Computer Science, Mathematics or Physics
- 2+ years of experience in the role of ML engineer or data scientist
Benefit package
- Competitive salary
- Health insurance
- Psychotherapy service
- Paid days off
- Professional trainings
- English courses
- Innovative workspace
- Flexible work schedule
- Team building activities
- Game Zone
- Weekly massage
- “Lucky carrot” reward system
- Masterclass.com
- Referral System
- Snacks and espresso/tea