• Independently develop algorithms and statistical models that significantly improve our current ability to make decisions based on qualitative and quantitative data.
• Able to produce concise problem definitions and hypotheses, analyze and produce data-driven, actionable insights and present and communicate results clearly.
• Gather and import data from different sources, write your own SQL queries, reshape, wrangle and cleanse data for quantitative analysis.
• Measure and continue to improve the predictive accuracy of models, monitor model performance in production systems.
• Partner with our technology teams to ensure that once proven these algorithms are implemented in robust platforms to scale for deployment across the organization.
• Apply statistical theorems and best practices in all of our data-driven decision processes
• Work hand-in-hand with your fellow data scientists, data engineers, operators and the product team to design and deploy data-driven solutions with high business value.

You should have

• Exceptional CAN-DO ATTITUDE
• Min 2yrs experience with Quantitative Analysis, Statistical Analysis and Modelling
• Min 2yrs of applied experience in at least one statistically-oriented scripting language such as Python, R, Scala, or equivalent.
• Solid communication skills (Bahasa Indonesia and English)
• You are curious, analytical, fast learning and have excellent problem-solving skills
• You must be results-oriented and willing to work in a fast and dynamic environment
• Deep understanding of Statistical Inference and able to test and explain the assumptions and (statistical) limitations of analyses and data. Mindful and careful in interpreting results correctly.
• Solid understanding of Linear Algebra, (Multivariate) Calculus, Applied Mathematics and Statistics, Algorithms and complex optimization
• FSolid understanding of SQL, independently able to query databases, perform and apply joins, aggregates, filters and search patterns
• Excellent data visualization and presentation skills
• Bachelor’s degree in Statistics, Mathematics, Applied Math, Engineering, Computer Science, or similar advanced degree