Lowongan Data Scientist 7 Lowongan

You will be independently determining the necessary algorithms to develop a Machine Learning (ML) system to the business, enabling qualitative and quantitative decision making.

Client Details

Our client is a leading Fintech startup with high social vision to help the underserved. They have made it possible for individuals to have accessibility to financial products.

Description

• Gather, manage and scrub data collected from various analytic platforms and sources, write own SQL queries and build quantitative analysis.
• Define problems and hypotheses, develop recommendations, and analyze large amounts of data to discover insights for solving the problems, leading to better business performance.
• Collaborate with fellow Data Scientists, Data Engineers and other Business Units to design and deploy data drive solutions with high business value.
• Implement continuous improvement to predictive accuracy of models, monitor its performance in production systems.
• Apply best practices in data-driven decision processes through statistical theorems.

Profile

• Minimum 3 years of experience in data science, modelling, statistics and quantitative analysis.
• Excellent understanding of machine learning algorithms in Python libraries and not limited to Scikitlearn, Pandas, Keras, Xgboost, Catboost, Tensorflow.
• Proficiency in using SQL query language, and independently able to query databases, perform and search patterns.
• Great understanding of linear algebra, multivariate calculus and applied statistics skills, such as distributions, statistical testing, regression, etc.
• Solid analytical and problem solving skills, curious and fast learning with exceptional CAN-DO attitude.
• Excellent data visualization and presentation skills.
• Preferably Bachelor's Degree in mathematics, computer science, statistics, engineering or similar advanced degree.

Job Offer

• Competitive benefits
• Work in one of the highest performing startup
• High variety of use cases with latest technology

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Josephine Wiliputri on +62 21 2958 8871.