Principal Accountabilities:

• Working with large and complex datasets, including both structured and unstructured data, to discover actionable insights, and model features to build or improve recommendation models. Developing an end-to-end process from data sources to insights.
• Coming up with new ideas, designing experimentation, and testing hypotheses. Developing and executing research plans and communicating outcomes to relevant stakeholders.
• Providing insightful visualization, explanation, and recommendation for the next course of action.
• Occasionally communicating your work to both technical and business audiences via live demonstrations, presentations, whitepapers, and publications.
• Design of experiment and optimize A/B testing to get the best results when the project/campaign launches.

Qualifications:

• Bachelor's or Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field.
• 2+ years of experience in manipulating data sets and building statistical models.
• Can-do attitude, eager to learn new technologies, open-minded, and able to communicate your ideas to others effectively.
• Experienced in Python and SQL programming languages.
• Experienced in one or more specialized areas, e.g., recommendation systems, statistical modeling, machine learning, deep learning, NLP, LLM, and optimization.
• Experienced with data tools such as Data Looker Studio or Tableau.
• Understand potential outcomes and be familiar with experiment design, A/B testing, or split testing.
• Good verbal and written skills in English
• BONUS: Experienced in any of the following technologies: ElasticSearch, Spark, Google Cloud Platform (e.g., BigQuery, Google Analytics, Dataproc, etc.).