Data Scientist Role
2 days ago
At Staffinc, we're seeking a highly skilled and motivated Data Scientist to join our team in the banking sector. This position requires a deep understanding of statistical analysis, machine learning, data mining, and data visualization.
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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