First seen by Alion on Nov 5, 2026.
RESPONSIBILITIES AND DUTIES:1.Data Analysis and Interpretation 1.1 Collect, process, and analyze large datasets from various sources. 1.2 Apply statistical techniques to interpret data and generate meaningful insights. 1.3 Identify trends, patterns, and anomalies in data to support business objectives.2.Model Development 2.1 Develop and implement predictive models using machine learning algorithms. 2.2 Validate and optimize models to ensure accuracy and reliability. 2.3 Monitor model performance and update models as necessary.3.Data Visualization 3.1 Create clear and concise data visualizations to communicate findings to stakeholders. 3.2 Develop interactive dashboards and reports to support ongoing analysis.4.Collaboration 4.1 Work closely with cross-functional teams, including Test Engineer, Product/Process Engineers, Test development, and IT, to understand business needs and provide data-driven solutions. 4.2 Collaborate with data engineers to ensure data quality and availability.5.Research and Innovation 5.1 Stay up-to-date with the latest advancements in data science and machine learning. 5.2 Experiment with new tools and techniques to improve data analysis processes.6.Documentation and Reporting 6.1 Document methodologies, processes, and findings for future reference. 6.2 Prepare comprehensive reports and presentations for both technical and non-technical audiences.
Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Experience: 1-3 years
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Proficiency in programming languages such as Python, R, or SQL.
Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
Knowledge of big data technologies e.g., Hadoop, Spark (optional).
Strong understanding of statistical analysis and modeling techniques.
New technology learner
Fluent in both written and spoken English
Benefits
- โบนัส- ค่าอาหาร- ค่ากะ- เบี้ยขยัน- ประกันชีวิต- กองทุนสำรองเลี้ยงชีพ- ประกันสุขภาพ- วันพักร้อน- ข้าวฟรี- กิจกรรมประจำปี- อาหารราคาถูก- มีรถรับ - ส่ง- สหกรณ์ออมทรัพย์- ฯลฯ

