Senior Data Scientist, ZAP

• Outline stages of a data product life cycle and propose an implementation plan;

• Research best practices and new methodologies in ML/AI;

• Design ML/AI experiment to evaluate impact and answer business questions;

• Develop and apply NLP for content-based recommendations and ad relevance;

• Package solution as a scalable automated computing pipeline;

• Work with big data technologies to process and analyze large-scale datasets;

• Feedback loop to measure & improve accuracy and outcomes over time;

• Translate complex findings and results into a compelling narrative;

• Aware of design patterns encompassing efficient presentations and dashboards.

👾 What you will need

• 2-4 years of experience in building production models as a Data Scientist/ML Engineer;

• Strong foundation in statistics, probability, and machine learning;

• Strong experience in programming using Python, Scala, SQL, and Spark;

• Knowledge and experience in Big data, and data mining;

• Hands-on experience with boosting models;

• Able to clearly and effectively communicate to cross-functional stakeholders of varying technical understanding;

• Creative thinking, opening mindset, young, active and good at team/individual work.

It is a strong plus if you have:

• Experience with recommendation systems, ad targeting models, and real-time bidding;

• Knowledge of NLP techniques and LLMs;

• Kaggle competition achievements;