Data Scientist
Job Description
- Identify, collect, and preprocess diverse datasets from various sources to ensure data quality and reliability.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Develop scripts or workflows for data cleaning, transformation, and normalization.
- Collaborate with cross-functional teams including business analysts and software developers to integrate data science solutions into business applications and systems.
- Communicate effectively with non-technical stakeholders to understand business requirements and deliver actionable insights.
- Develop business and machine-learning model from data owned by the company and / or client.
- Visualize data using appropriate tools and techniques to communicate findings effectively.
- Design, develop, and implement machine learning models, algorithms, and predictive analytics to solve business problems and optimize processes.
- Implement machine learning algorithms such as decision trees, random forests, neural networks, and clustering techniques.
- Experiment with new techniques and technologies to enhance analytical capabilities and drive innovation within the organization.
Job Requirements
- Graduate from Bachelor, Diploma 3, Diploma 4 degree from IT, Computer Science, Statistics, Mathematics or other related majors.
- Proven experience as a Data Scientist or in a similar role for minimum 1 year, preferably in a start up environment.
- Proficiency in programming languages such as Python or R for data analysis and machine learning.
- Strong understanding of statistical concepts and techniques, with practical experience in applying them to real-world problems.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
- Knowledge of big data processing frameworks such as Hadoop or Spark is a plus.