Lead a data science team at Bonza to develop machine learning models and innovative data strategies, driving solutions in fraud detection for fintech and eCommerce in Indonesia.
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.
Lead data 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:
Bonza is a low-to-no code platform that simplifies data engineering and analytics, enabling organizations to automate workflows and operationalize insights seamlessly. We provide powerful tools designed to unify disparate data into a single source of truth, empowering businesses to make informed, data-driven decisions at scale.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Lead Data Scientist Q&A's