1 час назад
Senior Data Scientist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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