Data Scientist
Astana International Financial Centre Authority
- Нур-Султан
- Постоянная работа
- Полная занятость
- Collect, clean, and prepare large datasets for analysis and modeling.
- Develop, train, and validate machine learning and statistical models.
- Conduct exploratory data analysis (EDA) to identify trends and patterns.
- Build dashboards, visualizations, and reports to communicate insights.
- Deploy models into production and monitor performance.
- Optimize and improve existing models for accuracy and efficiency.
- Collaborate with engineers to implement scalable data pipelines.
- Document methodologies, processes, and model decisions.
- Present results and recommendations to technical and non-technical audiences.
- Stay up to date on new technologies and best practices in data science.
- Ensure data accuracy, privacy, and compliance with standards.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or related field.
- Minimum 1 year of hands-on experience in data analysis, machine learning, and model development.
- Proficiency in Python or R for data analysis and modeling.
- Strong SQL skills for querying and manipulating datasets.
- Experience with machine learning algorithms and model evaluation.
- Skilled in data cleaning, transformation, and preprocessing.
- Familiarity with visualization tools (Matplotlib, Seaborn, Plotly, Tableau, Power BI).
- Understanding of statistical methods, hypothesis testing, and feature engineering.
- Knowledge of cloud platforms (AWS, GCP, Azure) is an advantage.
- Strong problem-solving, critical thinking, and communication skills.
- Ability to manage multiple tasks and adapt to dynamic environments.
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