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Lead Data Scientist

to apply please email your CV to rizka.jestrina@crowdo.com or contact Rizka regarding the job at 0812-2147-7773

Opportunity Details

  • Job Type

    Full-time

  • Experience Required

    4 – 7 years

  • Work Location

    Jakarta

  • Remote Working Option

    Yes

  • Monthly Salary

    Max Rp. 20.000.000

  • Vacancies

    1

Job Description & Requirements

Crowdo is looking for a Data Scientist Expert in Machine Learning to enhance our innovative Credit Scoring Engine. Access to credit is a severe barrier to growth for many entrepreneurs in developing countries, with about 50% of small businesses in South East Asia being under served by banks. Digital lending has emerged as a powerful platform to facilitate access to credit by directly connecting borrowers to potential lenders. A key component of digital lending is an innovative credit score engine which changes the information paradigm traditionally used by financial institution to assess credit risk.

Expertise

We are looking for a Data Expert to the enhance our existing credit scoring engine and identify and develop new AI features and products across our infrastructure and digital offerings. The candidate should have expertise in the following areas:

·        Machine Learning

·        Understand the lifecycle of data analytics

·        Ability to explain the ML model in words or visuals

·        Ability to explain the shortfalls of the different ML models

·        Good knowledge in charting libraries

·        Experience using Python

·        Strong algorithmic mindset

·        Experience in using cloud based ML frameworks

·        Knowledge in CI CD pipelines, dockers, Git, SQL Aws linux

·        Experience in deep learning models is advantageous

·        Background in Computer Science

·        Understanding of Big Data

·        Leading a small team of data scientists / analysts

Requirements

·        Degree in Data Science & Analytics

·        Experience in Fintech Startup an advantage

·        Minimum 4 years of relevant professional experience