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Lead Data Scientist

4 months ago

New York, United States SBG Funding Full time

About SBG Funding

SBG Funding is one of the nation’s leading sources for business funding. We are a niche financing firm with years of experience in the commercial lending arena. Our mission is to provide fast, flexible, and affordable capital to small businesses nationwide.


Responsibilities

  • Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
  • Design, develop, and deploy predictive models, clustering algorithms, recommendation systems, and anomaly detection models for various applications, including customer segmentation, fraud detection, credit risk assessment, and personalized recommendations.
  • Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy.
  • Implement and maintain scalable machine learning pipelines and workflows, ensuring reliability, scalability, and efficiency.
  • Process large-scale data and build scalable data processing pipelines.
  • Evaluate model performance using appropriate metrics and techniques, conducting A/B testing and iterating on models to continuously improve accuracy and business impact.
  • Collaborate with other technical teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues.
  • Contribute to the development of best practices, standards, and documentation for machine learning processes and methodologies.



Requirements

  • 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models.
  • Degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment.
  • Experience with data preprocessing, feature engineering, and model selection techniques to optimize performance.
  • Familiarity with cloud services (AWS, Google Cloud, Azure).
  • Strong understanding of statistical analysis, hypothesis testing, and experiment design.
  • Excellent problem-solving skills with the ability to translate business requirements into technical solutions.
  • Strong communication and collaboration skills with the ability to work effectively in a fast-paced, cross-functional environment.


Preferred

  • Experience in B2C Fintech or Financial Services domains.
  • Experience with Salesforce.