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Remote Lead Data Scientist - Fintech

Veröffentlicht am

Arbeitsort
Richards Bay, Deutschland

Stellenbeschreibung

About the Role

Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their advanced analytics initiatives within the fintech sector, working remotely. In this critical role, you will lead a team of data scientists, guiding the development and deployment of sophisticated machine learning models and data-driven solutions that will shape product strategy and customer experience. You will collaborate with engineering, product, and business teams to translate complex business challenges into data science problems and deliver impactful, scalable solutions. This is an opportunity to drive innovation and make a significant impact on the company's future success, fostering a culture of data-driven decision-making from anywhere.

Key Responsibilities

  • Lead and mentor a team of data scientists, providing technical guidance and strategic direction.
  • Design, develop, and deploy advanced machine learning models for predictive analytics, fraud detection, and customer segmentation.
  • Collaborate with stakeholders to define key business problems and translate them into data science projects.
  • Develop and maintain robust data pipelines and infrastructure for model training and deployment.
  • Evaluate and implement new algorithms, tools, and technologies to advance the team's capabilities.
  • Communicate complex findings and recommendations to both technical and non-technical audiences.

Requirements

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7+ years of experience in data science , with a proven track record of leading teams and projects.
  • Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong experience with large-scale data processing frameworks (e.g., Spark) and SQL.
  • Deep understanding of statistical modeling, machine learning algorithms, and experimental design.
  • Excellent communication, leadership, and collaboration skills.

Benefits

  • Highly competitive salary and stock options package.
  • Fully remote work environment with flexible hours.
  • Comprehensive health, dental, and vision insurance.
  • Generous budget for professional development and conference attendance. Opportunity to work on cutting-edge fintech challenges and shape the future of financial services.