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6 дней назад

Data Scientist (Machine Learning)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Machine Learning) (Credit Scoring/Recommendation Engines): Building and deploying end-to-end machine learning models for credit scoring and recommendation engines with an accent on quantitative analysis, predictive modeling, and working with diverse data. Focus on researching model improvements, developing robust production-ready solutions, and applying deep learning or NLP techniques to credit risk and recommendation problems.

Location: Singapore

Company

hirify.global is a fintech company developing data-driven financial products and machine learning solutions.

What you will do

  • Work in a multidisciplinary team with Analysts and Machine Learning Engineers.
  • Take ownership of transforming discoveries and ideas into machine learning models and final products.
  • Prototype machine learning models for credit scoring and recommendation engines.
  • Research and implement improvements using large and unique datasets.
  • Contribute to advancing Data Science at hirify.global Group.

Requirements

  • At least 2 years of relevant work experience.
  • Degree or equivalent experience in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, Engineering, or Artificial Intelligence.
  • Ability to build robust end-to-end predictive models using modern machine learning techniques and methodologies.
  • Proficiency in Python or R.
  • Experience with relational databases such as MySQL or PostgreSQL and NoSQL platforms such as S3.
  • Excellent English communication skills.

Nice to have

  • Experience using alternative data to evaluate credit risk.
  • Experience building end-to-end deep learning or NLP models.

Culture & Benefits

  • Work in a multidisciplinary environment alongside Analysts and Machine Learning Engineers.
  • Own projects from initial idea generation through implementation.
  • Work with a large and unique dataset to improve machine learning models.

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