Company Overview:
Bukalapak’s mission is to provide a fair economy for all. We envision a tech-enabled economy where everyone from all walks of life have the options and opportunities to get more out of life, powered by our innovative online and offline platform. We do this because we believe people deserve equal opportunity to create better lives for themselves and their loved ones. Bukalapak is one of the largest e-commerce companies in Southeast Asia. Founded in 2010, it now has more than 100 million users with various physical and virtual products, including small kiosks and the e-commerce platform.
Job Purpose
The Bukalapak Search Data Science team is looking for talented individuals to develop, tune, and maintain our online marketplace search algorithms.
Marrying theoretical models with large-scale user interaction data using cutting-edge technology, the team aims to deliver delightful search experience while balancing the complex interests of buyers and sellers at the same time.
As a Search Data Scientist working on that omnipresent search bar, your work will have a direct real-time impact on the experience of millions Bukalapak users and sellers in Indonesia.
Job Description
- Research, prototype, experiment, deploy, and maintain reliable and scalable search matching and ranking algorithms
- Work collaboratively with senior business stakeholders, engineering team, as well as AI researchers in delivering stellar marketplace search experience
- Track, collect, and analyse user interaction data and product performance metrics to strategically inform the continuous development of search algorithms and product features
- Contribute to internal knowledge and team building via written documentation, training session, or mentorship
- Actively promote data driven culture within the organisation
Requirements
Basic Qualifications
- Master degree or equivalently strong Bachelor degree in Statistics, Computer Science, Maths, or related fields
- 1+ years of professional experience as a Data Scientist, AI Researcher, or ML Engineer
- Experience in numerical programming with Python, R, SQL and related programming languages
- Solid knowledge of applied statistics and machine learning
- Strong communication and data presentation skills
Preferred Qualifications
- PhD or equivalent in Statistics, Computer Science, Maths, or related fields
- 2+ years of professional experience as a Data Scientist, AI Researcher, or ML Engineer working in information retrieval related fields
- Expertise in numerical programming with Python, R, SQL and related programming languages
- Experience in data pipeline orchestration with Airflow, Spark, or related technologies
- Solid knowledge of applied statistics and machine learning with focus on ranking modelling and natural language processing
- Experience of working with a search engine platform such as ElasticSearch or Solr
- Strong communication, analytics translation, and data presentation skills