Junior Data Scientist | Onsite  

Job Description

• Apply exploratory or predictive analytics to solve business problems.
• Develop and support cloud-based AI applications and tools utilizing cutting-edge open-source and cloud technologies. This position participates in all phases of the project lifecycle, including research, requirements gathering, database development, cloud-based application development, analytical report creation.
• Explain and defend potential insights and conclusions drawn from data, as well as identify and investigate potential data anomalies to determine root cause and recommend corrective action.
• Display and visualize processed information so its value can be understood.
• Performs data modeling. Implement and test data modeling designs. Use advanced math and statistics. Use modern data analytical techniques working with information retrieval, machine learning, matrix and graph algorithms, unsupervised clustering & data mining to solve business problems.
• Work with big datasets with minimal engineering support.
• Integrate research and best practices into problem avoidance and continuous improvement. Exercise independent judgment in methods, techniques, and evaluation criteria for obtaining results.
• Work effectively both as an individual analytic contributor and collaborator within the team

Why Join Us?

• Be part of Asia’s largest all-natural product retailer for 29 years!
• Enjoy our beautiful and employee –friendly stores/office, with cute office pets in our HQ.
• Experience on-the-job skill development and mentoring program.
• Learn from our in-house and external trainings.
• Grow and challenge yourself to join our leadership development program.
• Work in a Company that values an entrepreneurial mindset on the job.
• Feel secure in our above industry compensation package.
• Join an organization that has a high retention rate, where people love where they work.

Minimum Qualifications

• Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Statistics, etc.)
• Experience with common supervised learning techniques to include but are not limited to regression models such as logistic and linear regression, classification models such as decision trees, naive bases, nearest neighbor, random forest, SVM, and neural network models, and unsupervised learning technique such as k-means clustering.
• Experience writing code in Python with documentation for reproducibility
• Experience writing SQL
• Strong analytical and planning skills;
• Good communication and presentation skills;
• Excellent problem-solving skills;