Data Scientist and Analytic Consultant
On-siteBangkok, Bangkok, Thailand
Bangkok, Bangkok, ThailandOn-siteFull TimeDoctorate Or Professional DegreeSmall
Full TimeDoctorate Or Professional DegreeSmall
Job Summary
Conduct exploratory data analysis to uncover patterns and detect anomalies within massive datasets on cloud infrastructure. Build, deploy, and optimize machine learning models using Python, PySpark, and SQL for feature creation and advanced analytics. Design A/B tests to measure business impact across diverse use cases in mobile, broadband, entertainment, and media domains. Leverage generative AI projects to drive innovation and impactful business solutions. Work independently and collaboratively to derive actionable insights that support AIS's transformation into a digital life service provider.
Required Qualifications
- Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively
- Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data
- Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders
- Experience in building, deploying, and optimizing machine learning models on large datasets
- Strong analytical and problem-solving abilities focused on deriving actionable insights from data
- Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals
- Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks
- Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.)
- Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development
- Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise)
- Bachelor's or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields
- At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions
Desired Qualifications
- Opportunity to work on GenAI projects that drive innovation and impactful business solutions
- Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus
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