Data Scientist - Jakarta, Indonesia - CrediBook
Deskripsi
Company Description
CrediBook is a mobile app that helps people to manage and track the money owed to them through the means of a digital ledger.
Job Description:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications:
- Strong problem solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their realworld advantages/drawbacks.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Familiar with the following software/tools:
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
- Experience using web services: Redshift, S3, Spark, etc.
- Experience machine learning framework like MLflow, etc.
- Experience using Pyhton DS packages: TensorFlow, NumPy, SciPy.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
At CrediBook, we are energetic, driven, passionate, fast paced and collaborative.
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