6 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/machine learning): Developing production data science applications and new AI services for high-load gaming technology platforms with an accent on predictive modeling, statistical analysis, and production-ready Python. Focus on designing machine learning algorithms, maintaining scalable data science pipelines, and collaborating with R&D and DevOps teams.
Location: Kyiv, Ukraine; remote collaboration environment
Company
is a publicly listed gaming technology company providing business intelligence-driven software, services, content, and platform technology for regulated and regulating markets.
What you will do
- Develop production data science applications in Python from end to end.
- Design and build new AI services from scratch.
- Maintain and improve data science pipelines in complex, high-load applications.
- Research, adapt, and implement machine learning algorithms for business needs.
- Perform predictive modeling, statistical modeling, and ad-hoc analyses.
- Collaborate with R&D and DevOps teams.
Requirements
- At least 4 years of experience as a Python developer, including PyCharm, Git, and debugging.
- At least 3 years of experience with predictive modeling, preferably in production data science services.
- At least 3 years of experience analyzing tabular or time series data.
- Proficiency in SQL for data manipulation and visualization.
- Ability to write clean, maintainable, production-ready code with strong testing, reliability, scalability, and quality practices.
- High-level English proficiency and a Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or a related field.
Nice to have
- Knowledge of AWS or GCP.
- Master's degree in a relevant discipline.
- Experience communicating directly with business stakeholders.
Culture & Benefits
- Work in a BI unit of 30 developers spanning data science, Python development, data engineering, front-end development, and DevOps.
- Build personalized recommendations and churn mitigation strategies.
- Support data-driven decision-making through insightful reporting.
- Explore cutting-edge technologies and prioritize responsible user experiences.
- Collaborate in a remote working environment.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →