Data Analyst
2 weeks ago
We are seeking a highly skilled Data Scientist to join our team in the banking sector. As a Data Scientist, you will be responsible for analyzing large amounts of raw information to identify patterns that will help improve banking operations.
Key Responsibilities:- Data Analysis & Interpretation: Collect, clean, and analyze large datasets to identify meaningful trends and patterns.
- Model Development: Develop predictive models and algorithms to solve complex business problems.
- Machine Learning: Implement machine learning techniques to improve banking processes and customer experience.
- Data Visualization: Create dashboards, reports, and data visualizations to communicate findings to stakeholders.
- Collaboration: Work closely with business stakeholders, IT, and data engineering teams to understand data needs and deliver actionable insights.
- Research & Innovation: Stay updated with the latest data science trends and technologies and apply them to current projects.
- Documentation: Maintain comprehensive documentation of models, analysis, and processes.
- Work Arrangement:
- Willing to work on-site in Jakarta Selatan (WFO)
- Able to join ASAP
- Willing to work in Banking sector
- Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
- Experience: Minimum of 2 years of experience in data science or a related field, preferably within the banking or financial services industry.
- Technical Skills:
- Proficient in programming languages such as Python or R.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, Keras).
- Strong understanding of statistical analysis and data mining techniques.
- Proficient in SQL and experience with database management.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
- Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Attention to detail and a proactive approach to identifying issues and finding solutions.
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