Junior Data Scientist

About Quantumoo

Quantumoo is a leading applied AI firm specializing in transforming complex data into functional insights tailored for specific industries. With operations spanning New Zealand, Australia, and beyond, the company partners with organizations to reshape data, optimize workflows, and leverage domain expertise into scalable AI-driven products. Their solutions focus on automation and intelligent decision systems to enhance operational efficiency and promote data-inspired business strategies. Team members engage closely with clients across diverse sectors to deliver practical, innovative AI applications.

Key Responsibilities

• Interpret business needs and employ statistical analysis, data mining, and machine learning techniques to address practical challenges.
• Analyze datasets related to retail, including transactions, customer relationship management, store operations, and product information, producing actionable insights.
• Design and implement algorithms suited for retail, restaurants, e-commerce, among others, covering recommendation engines, dynamic pricing models, advertising targeting, and sales prediction.
• Oversee the end-to-end model lifecycle, encompassing evaluation, deployment, continuous monitoring, and refinement.

Candidate Qualifications

• Possess a Bachelor’s degree or higher in Statistics, Mathematics, Data Science, Computer Science, Engineering, or related quantitative disciplines.
• Strong theoretical background in statistics, data mining, and machine learning methods such as SVD, PCA, LDA, XGBoost, LightGBM, RNN, and LSTM, with a clear understanding of their underlying mathematics.
• Practical experience executing projects in data mining, machine learning, and deep learning domains.
• Advanced proficiency in Python for data manipulation, feature engineering, and model building. Experience with Git version control and maintaining high standards of code quality and documentation to facilitate team collaboration.
• Highly self-motivated with keen curiosity and adaptability to emerging technologies.
• Knowledge of big data platforms like Apache Spark, Hive, Clickhouse, or Flink is advantageous.
• Must have fluent verbal and written communication skills in both Mandarin Chinese and English.