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Data Scientist II - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide

Overview

The Data Scientist II will provide innovative solutions to achieve various business goals by analyzing and interpreting data.

In Short

  • Assure the integrity of project data, including data extraction, storage, manipulation, processing, and analysis.
  • Analyze data with standard statistical methods, interpret the results, and provide both written and verbal summaries and recommendations.
  • Produce solutions that will impact the Company’s bottom line within different aspects of the company, including but not limited to: Partnerships, marketing, sales, pricing, credit, and risk.

Requirements

  • 1+ years of work experience in the Financial Services industry focused on business analytics.
  • Proficiency with SQL, Python, Excel, and PowerPoint.
  • Strong analytical, problem solving, and critical thinking skills.
  • Experience with A/B testing and/or building predictive models using statistical/machine learning techniques (e.g. CART, logistic regression, linear regression, random forest, XGBoost etc.).
  • Intellectual curiosity and aptitude to pick up new technical skills and domain knowledge.
  • Strong written and verbal communications.
  • Master’s degree in Data Science, Analytics Math, Physics, Engineering or related quantitative fields.

  • Nice to Have:
  • Experience in consumer lending.
  • Experience with lending marketplaces (e.g. Credit Karma, Credible, etc.).
  • Proficiency with PowerBI.
BHG logo

BHG

BHG is a forward-thinking technology company focused on leveraging cloud infrastructure to enhance operational efficiency and scalability. With a strong emphasis on automation and Infrastructure as Code (IAC) principles, BHG is dedicated to designing and managing robust cloud environments, primarily utilizing Azure technologies. The company fosters a collaborative work culture, encouraging innovation and best practices among cross-functional teams. BHG values expertise in various technologies, including Kubernetes, Terraform, and Python, and is committed to providing secure and reliable cloud solutions.

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