Data Scientist - Cermati｜Meet.jobs

Job Description

• Analyze data to bring insights that can help solve problem or prevent future problem to arise - 
• Create hypothesis and test hypothesis using our data. If we don't have the data, propose a way to capture and extract the needed data to stakeholders. 
• Train data model based on our current data 
• Define and monitor key metrics and alert the business on potential issues.
• Analyze operational efficiency and build business models to guide decision-making. 
• Design market/business intelligence reports and performance measurement dashboards. 
• Enhance our data infra, analyze large, complex data sets into actionable insights.

Qualifications

• At least a Bachelor degree in computing intensive subjects, e.g. finance, financial mathematics, computer science, mathematics, physics, bio-informatics, engineering 
• Knowledgeable in SQL, data visualization using tools like Tableau and can code basic Python/R 
• Advanced statistics knowledge 
• Unafraid to deal with large, dirty, and messy data and can create ETL to clean and make the data workable - Amazing problem solver 
• Experienced in using advanced analytics/machine learning in the real world scenario
• Past participation in science Olympiade or Kaggle is a plus

 

SQL R Data Analysis

We are a team of professionals from companies such as Google, Microsoft, LinkedIn, and local startups such as Doku and Touchten. We are building a company with a culture of openness, transparency, drive, and meritocracy as Silicon Valley companies. Join us to build a world class fintech company in Indonesia.

• Champion the Mission: At Cermati, we take our mission very seriously. Our mission drives the decisions we make and the actions we take.
• Data is king, measure everything: We believe data are important for making educated decisions. Hence we keep track of a lot of things when doing something.
• Take Intelligent Risk: We experiment a lot. We iterate to improve our product. We are not afraid of mistakes. We analyze and calculate the pro and cons of our decisions. Taking intelligent risks is part of our identity.
• Do more with less: We believe working smart is better than working hard. We want to pursue work-life balance so we strive to do things as efficiently as possible.