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Senior Data Scientist (Fintech)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Scientist (Fintech): Building and optimizing machine learning models for financial crime, fraud, and money laundering prevention with an accent on client data preparation, feature engineering, and model tuning. Focus on processing large-scale data with Python, Java or Scala, optimizing JVM and OS runtimes, and collaborating with financial risk stakeholders.

Location: Remote, associated with Atlanta, GA, United States

Company

hirify.global develops AI-powered financial crime prevention technology used by banks, payment networks, and acquirers to protect transactions and consumers.

What you will do

  • Understand, clean, validate, and preprocess client data.
  • Use shell scripts and Python, Java, or Scala for data preparation.
  • Compute features iteratively and tune parameters to improve model quality.
  • Communicate findings to project managers and support data science decisions.
  • Collaborate with client data scientists, engineers, and risk managers.
  • Improve processes, best practices, and tooling with Product, Research, and other teams.

Requirements

  • MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or a related field.
  • Proficiency in machine learning, including model training, testing, and overfitting prevention.
  • Knowledge of Big Data technologies such as Spark and Hadoop.
  • Proficiency in Bash, Python, and either Java or Scala.
  • Knowledge of resource monitoring and runtime optimization at JVM and operating-system levels.
  • Superior oral, presentation, and written communication skills.

Nice to have

  • Fraud and digital business domain experience.
  • Customer-facing experience.
  • Knowledge of statistics or data visualization.
  • Knowledge of tree-based algorithms such as Random Forests, XGBoost, and LGBM.

Culture & Benefits

  • Customer Success work combines education, configuration, solution development, risk strategy, and client support.
  • Cross-functional collaboration with a globally distributed organization.
  • Open environment encouraging experimentation and professional growth.
  • Initial training, manager support, colleague shadowing, and project onboarding during the first 30 days.
  • Virtual or onsite onboarding may depend on the employee's work location.

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