รับนักศึกษาฝึกงาน Data Scientist (Intern)
COLLECTIVE WISDOM Co., LTD.
หมวดหมู่งาน
คอมพิวเตอร์/ไอที
ลักษณะงาน
As a Data Scientist Intern at UpPass,, you will work closely with our data science team to extract valuable insights from data, build predictive models, and contribute to the development of innovative solutions. This internship is designed to provide you with practical experience in data analysis, machine learning, and AI, all while addressing real-world challenges in the SAAS and eKYC industries.Duties & Responsibilities Data Analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights and identify trends relevant to our SAAS and eKYC businesses. Machine Learning: Assist in the development and implementation of machine learning algorithms and models for tasks such as fraud detection, identity verification, and customer profiling. Data Visualization: Create visually compelling data visualizations and dashboards to communicate findings and insights effectively. Model Evaluation: Evaluate model performance through rigorous testing and validation, making improvements as necessary.Collaboration: Collaborate with cross-functional teams, including engineers, product managers, and data engineers, to integrate data science solutions into our SAAS and eKYC products. Research: Stay updated on the latest advancements in data science, machine learning, and AI to contribute innovative ideas to ongoing projects. Documentation: Maintain clear and organized documentation of data analysis processes, model development, and results.
คุณสมบัติผู้สมัคร
Qualifications Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Familiarity with data analysis tools such as Python and SQL. Able to research and find the solution. Basic understanding of machine learning concepts. Excellent communication and teamwork skills. Attention to detail and a passion for working with data.If you are interested in this position, you can send your resume to hr at uppass.io.
เบี้ยเลี้ยง
- ตามความสามารถผู้สมัคร
สวัสดิการ
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สถานที่ปฏิบัติงาน
รูปแบบการทำงาน : Hybrid (มีทั้งเข้าออฟฟิศ และทำงานที่บ้านได้)
จำนวนวันและเวลาทำงาน
5 วัน/สัปดาห์09:00 - 18:00 น.
