23 часа 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, AI services, and predictive models for high-load gaming technology with an accent on Python engineering, statistical analysis, and scalable data pipelines. Focus on designing machine learning algorithms, maintaining production systems, and collaborating with R&D and DevOps teams.
Location: Strovolos, Nicosia, Cyprus
Company
develops business intelligence-driven gaming software, services, content, and platform technology for regulated and regulating markets.
What you will do
- Develop end-to-end production data science applications in Python.
- Design and build new AI services from scratch.
- Maintain and enhance data science pipelines in complex, high-load applications.
- Research, adapt, and implement machine learning algorithms for business needs.
- Perform predictive and statistical modelling, including 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 in predictive modelling, preferably in production data science services.
- At least 3 years of experience analysing tabular or time series data.
- Proficiency in SQL for data manipulation and visualisation.
- Experience writing clean, maintainable, production-ready code with attention to testing, reliability, scalability, and quality.
- High 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
- Join a BI unit of 30 developers covering data science, Python development, data engineering, front-end development, and DevOps.
- Work on personalised recommendations and churn mitigation strategies.
- Contribute to data-driven reporting and decision-making across the organisation.
- Explore cutting-edge technologies with an emphasis on responsible user experiences.
- Work in an inclusive environment that values diverse perspectives and equal opportunities.
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