Data Scientist

West Jakarta, Indonesia

Applications have closed

Cermati.com

Nikmati layanan pinjaman online, KTA, kartu kredit, asuransi, dan pembayaran tagihan online terbaik di Indonesia. Cermati.com menyediakan layanan finansial sesuai kebutuhan dimana saja dan kapan saja dalam satu aplikasi.

View company page

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. 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 Olympiad or Kaggle is a plus

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Intelligence Computer Science Data visualization Engineering ETL Machine Learning Mathematics Physics Python R SQL Statistics Tableau

Region: Asia/Pacific
Country: Indonesia
Job stats:  7  3  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.