Senior Data Scientist
Senior Data Scientist performs the following duties and responsibilities:
utilization of specified machine learning and deep learning models;
lead, mentor, and manage a team of data scientists and researchers to deliver impactful AI projects;
foster a collaborative and innovative culture, encouraging the team to explore new methodologies and technologies;
oversee the development and deployment of scalable machine learning models and algorithms;
conduct exploratory data analysis and model evaluation to direct research efforts;
author and contribute to research publications, presenting findings at conferences and workshops;
collaborate with interdisciplinary teams to integrate AI solutions with domain-specific knowledge;
communicate complex technical concepts to non-technical stakeholders effectively;
partner with external organizations, universities, or consortia to drive collaborative research projects;
stay abreast of the latest advancements in AI and machine learning, incorporating relevant technologies and methodologies;
put machine learning and deep algorithms into practice;
provide reports about model performances;
transfer knowledge including practical skills, methods and techniques;
contribute to the preparation of proposals and applications to external bodies, e.g. for funding and accreditation purposes;
promote and market the work of the Institute in the subject area both nationally and internationally;
participation in identification, evaluation, management and monitoring of risks within the framework of supervised direction;
Higher-professional, preferable from the higher education institutions with English language of instruction;
Preferably PhD degree in Computer Science, Machine learning or equivalent.
Priority specializations:
- Computer Science;
- Artificial Intelligence;
- Mathematics;
- Robotics or equivalent.
No less than 5 years of professional experience.
Required skills:
- knowledge of the development of machine learning and deep learning models;
- knowledge of Linux operating system software and related equipment;
- knowledge of machine learning;
- knowledge of the development of algorithms and models of artificial intelligence;
- knowledge of MS Office, Excel, PowerPoint;
- knowledge of development in the Linux environment;
- fluency in English, Kazakh and Russian languages.
- skills for collecting, cleaning, pre-processing data;
- good programming skills;
- expertise in NLP and/or CV;
- skills to recognize and evaluate artificial intelligence models;
- strong communication skills.