Job closed.
Job Description
- 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.
- Develop custom data models and algorithms to apply to data sets.
- 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.
Minimum Qualifications
- Graduated from Mathematics, Computer Science or any other related field from a Reputable University.
- Strong problem-solving skills with an emphasis on product development.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Experience in using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced machine learning algorithms and statistics (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Experience in using web services (Redshift, S3, Spark, DigitalOcean, etc.)
- Experience with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.)
- Experience in visualizing/presenting data for stakeholders (Periscope, Business Objects, D3, ggplot, etc.)
- Experience in analyzing data from Third Party providers (Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.)
Jobs Summary
- Job Level
- Entry Level / Junior, Apprentice
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Often
- Office Address
- South Jakarta, Daerah Khusus Ibukota Jakarta, Indonesia
About Asetku
Asetku was founded in 2017. As a P2P lending platform for lender to fund easily through mobile phone, Asetku has built strategic partnerships with Mobile Operators, Digital Marketplace, Payment Gateways, and Merchants over our maiden years.
Currently being the only official P2P lending platform of AKULAKU marketplace platform, we provide a selection funding Products starts with various range of tenors and return up to 22%.