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4 часа назад

Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Japan
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
Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights) (Machine Learning, Data Science): Building and deploying production machine learning models for prediction, recommendation, and anti-fraud use cases with an accent on end-to-end model development, data science systems architecture, and user and merchant behavior analysis. Focus on designing robust production systems, conducting experimentation and statistical inference, and delivering insights that influence product strategy.

Location: Hybrid workstyle with expected office attendance in Japan

Company

hirify.global is a FinTech company operating a digital payment product with more than 75 million users.

What you will do

  • Design, implement, evaluate, and maintain machine learning models for prediction, recommendation, anti-fraud, and other product use cases.
  • Own the full model lifecycle from problem framing through production deployment.
  • Lead architectural decisions for data science systems.
  • Process, analyze, and visualize user and merchant data to generate insights for product and business strategy.
  • Collaborate with data engineers, product managers, and stakeholders to build robust production systems.

Requirements

  • Bachelor’s degree in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, or Physics, or equivalent experience.
  • More than five years of experience as a data scientist, machine learning engineer, or in an equivalent role.
  • Professional experience with Python and SQL.
  • Verbal and written English communication skills required; English is the primary working language.

Nice to have

  • Master’s degree or PhD in a quantitative field.
  • Experience with Big Data technologies such as BigQuery, Spark, Hadoop, Redshift, Kafka, or Kinesis.
  • Experience with recommendation systems, deep learning, NLP, optimization, or anti-fraud systems.
  • Experience with AWS services, Databricks, Snowflake, A/B testing, hypothesis testing, or microservices.
  • Japanese communication skills.

Culture & Benefits

  • Full-time employment with a super-flex work schedule and no core time.
  • Annual leave, personal leave, and special paid leave for health and family-related needs.
  • Health, pension, employment, and compensation insurance, plus a 401K plan.
  • Visa sponsorship and relocation support are available.
  • Translation and interpretation support.

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