Search and Personalization team's mission in Tiki is to help customers discover products as easy as possible through providing relevant search results and useful recommendation within customer’s browsing context.
To serve this important mission, our team is constantly iterating and standing together to solve problems. We build and maintain features that have extremely high throughput with millions of requests per day and high contribution to company's revenue. We play with Big Data, Machine Learning, and even Deep Learning.
What you will do:
- Develop clever algorithms and pragmatic solutions to our automation and optimization problems.
- Build high accuracy machine learning models that can learn and optimize performance from vast amount of data.
- Develop metrics to measure the outcome/impact of your introduced solutions.
- Work with other members to implement and integrate into our existing systems.
- Document and improve the solutions over time.
- Evaluate and identify new technologies for implementation.
- Communicate with our business and technical teams to understand the analytics requirements.
- Respond and follow up to incorporate feedback and draw new insights.
- Prioritize tasks to meet multiple deadlines.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees
- Excellent knowledge of Python and its math and data science libraries such as scikit, xgboost, pandas, etc
- Knowledge of C++ and/or Java is a plus
- Knowledge of statistics is a plus
- Knowledge of SQL is a plus
- Experience with cloud services is a plus
