Senior Data Scientist

Job Description
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;

Qualifications
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.

Additional Information
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.