- Location Jatujak, Bangkok.
- Salary up to 120K Baht.
- Skills: Python, Machine learning, Data analysis.
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Responsibilities:
- Data Analysis and Exploration: Utilize your strong analytical skills to extract, clean, and transform large and complex data sets. Perform exploratory data analysis to identify patterns, trends, and relationships within the data.
- Machine Learning Modeling: Develop and implement machine learning models to solve business problems. Apply statistical techniques and algorithms to build predictive and prescriptive models, such as regression, classification, clustering, and recommendation systems.
- Model Evaluation and Optimization: Evaluate the performance of machine learning models using appropriate metrics and techniques. Fine-tune and optimize models to improve accuracy, precision, recall, and other relevant performance measures.
- Feature Engineering: Identify and engineer relevant features from the available data sources to enhance the predictive power of the models. Apply domain knowledge and creativity to generate meaningful features that capture the underlying patterns in the data.
- Python Programming: Utilize your strong programming skills in Python to implement data analysis and machine learning algorithms. Write efficient, scalable, and maintainable code that adheres to best practices and coding standards.
- Data Visualization: Communicate complex data insights effectively through visualizations. Use tools like Matplotlib, Seaborn, or Tableau to create clear and compelling visual representations of data and model outputs.
- Collaborative Problem Solving: Work closely with cross-functional teams, including data engineers, business stakeholders, and decision-makers, to understand business requirements and develop data-driven solutions. Collaborate on defining problem statements, gathering relevant data, and interpreting the results.
- Model Deployment and Monitoring: Assist in the deployment and integration of machine learning models into production environments. Develop processes and systems to monitor model performance and address issues or anomalies that arise.
- Continuous Learning and Innovation: Stay up-to-date with the latest advancements in data science, machine learning techniques, and relevant tools. Explore new methodologies and technologies to improve the effectiveness and efficiency of data analysis and model development.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 3 years of hands-on experience as a Data Scientist, applying machine learning techniques and data analysis in real-world projects.
- Strong proficiency in Python programming and its data science libraries such as NumPy, Pandas, and Scikit-learn.
- Solid understanding of machine learning algorithms, including supervised and unsupervised learning, ensemble methods, and deep learning.
- Experience with data preprocessing, feature selection, and feature engineering techniques.
- Proficient in using SQL to extract, manipulate, and analyze data from relational databases.
- Familiarity with data visualization tools and techniques to effectively communicate insights.
- Strong problem-solving skills and the ability to think critically and analytically.
- Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders.
- Proven ability to work independently and in a team-oriented environment.
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