Data Scientist jobs in Indonesia
Lead Data Scientist
Bonza
Senior Data Scientist
Bonza
Data Scientist
Glints
Data Scientist - Supply incentives
Gojek Group
Senior Data Scientist: AI-Driven Analytics for Clients
Bonza
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Scientist: Real-World ML & Low-Latency Models
Glints
Data Scientist, Fulfilment & Driver Incentives
Gojek Group
Lead Data Scientist - Fraud-Detection ML & Innovation
Bonza
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Data Scientist
Kredivo Group
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Senior Data Engineer
Bonza
Lead Data Scientist
Job summary
A leading data analytics company in Jakarta seeks a Data Science Team Lead to spearhead the development of monitoring dashboards and machine learning models. The ideal candidate will have at least 5 years of experience with large data sets, strong leadership skills, and proficiency in programming languages like Python or R. Join a fast-growing team that values innovation and offers attractive remuneration and growth opportunities.
Benefits
Qualifications
- At least 5 years of experience managing large data sets in dynamic environments.
- Proficient in leading data science teams and building machine learning models.
- Experience in evaluating data-driven solutions through experiments.
Responsibilities
- Work with data science team to build monitoring dashboards.
- Lead the development of machine learning models throughout various phases.
- Identify and implement new data strategies and algorithms.
Skills
Education
Tools
About Bonza
Bonza is a no-code AI platform that aims to remove friction and barriers organizations face when creating and implementing data-driven solutions. Our first plug-and-play AI application use case that we have built is AI Fraud Detection engine that is designed to solve fraud problems in fintech and eCommerce sector in Indonesia.
Now, as our business grows, we are looking for great talent to join our team!
What could your day look like?
Work with data scientist team in building monitoring dashboards to detect potential fraud and help our clients to prevent losses due to fraud.
Leaddata science team and build machine learning models through all phases of development, from design, testing, data gathering, training, evaluation, validation, and implementation.
Working with a cross-functional team of Product, Engineering, Designs teams to drive Bonza’s strategic product roadmap.
Identify, evaluate, and deploy new algorithms, data strategies, testing strategies, and implementation capabilities to drive continuous innovation.
Lead and grow data scientist team to achieve their professional goals
Requirement
Quantitative background (Science, Technology, Engineering, and Mathematics background preferred)
Good communication and presentation skills (Data storytelling)
At least 5 years of work experience with large data sets and relational databases in a fast-paced and dynamic business environment
Track record of evaluating data-driven solutions through experiments or other statistical analyses
Experience in SQL and manipulating large data sets
Proficient in at least one programming language (preferably Python, R)
Knowledge of business intelligence tools (Tableau, PowerBI, Looker), databases, and data warehousing solutions (BigQuery, Redshift)
Have good leadership skills, passionate about talent development and growth in your own team and beyond. Definitely a team-oriented person.
Innovative and continually research and evaluate emerging technologies
Plus points for you if you have knowledge in data engineering tools (airflow, prefect, azkaban) and distributed computing frameworks such as spark, dask, or vaex
We are conducting virtual interviews to keep our candidate and employees safe.
What’s on offer:
- To be part of Indonesia’s fastest growing data analytics company
- A great work culture, with coaching, massive ownership and growth opportunities
- Passionate and innovative work culture
- Attractive remuneration package and insurance coverage
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.