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Senior Data Scientist - Trading Analytics & ML Engineering

Smartbrain·Salary not specified

Primary stack

PythonSQLMachine LearningPandasScikit-learnPyTorch

Job description

About the Position

We are seeking a Senior Data Scientist for Trading Analytics & ML Engineering to join our remote team, focusing on enhancing machine learning models for our trading platform.

Responsibilities

  • Collaborate with business departments to translate requirements into effective machine learning solutions for our trading platform.
  • Enhance existing models to improve accuracy, efficiency, and business value metrics across our trading ecosystem.
  • Develop predictive algorithms that forecast user behavior patterns including churn probability, conversion rates, and lifetime value calculations.
  • Transform prototype models into production-ready systems with robust data pipelines from preprocessing to prediction delivery.
  • Conduct comprehensive exploratory data analysis on client behavior using Python 3.10+, SQL, and PySpark 3.4+.
  • Design and implement automated tools to streamline the entire ML model lifecycle from development to deployment.
  • Apply MLOps practices to ensure consistent quality, monitoring, and reliable deployment of machine learning models.
  • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders and business teams.

Requirements

  • 1-3 years of professional experience building machine learning solutions with measurable business impact.
  • Strong proficiency in Python and its data science ecosystem (NumPy, Pandas, Scikit-learn, XGBoost).
  • Advanced SQL skills for querying, manipulating, and analyzing large financial datasets.
  • Experience with Git for version control, collaborative development, and code review processes.
  • Upper-intermediate or higher English proficiency in both written and verbal communication.
  • Ability to work independently while maintaining clear communication in a remote environment.
  • Solid understanding of statistical methods and their practical applications in predictive modeling.
  • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related quantitative field.

We Offer

  • Opportunity to work remotely
  • Be part of a dynamic and innovative fintech team
  • Competitive salary (details upon application)
  • Professional growth and development opportunities

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