Remote Otter LogoRemoteOtter

Data Scientist II - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide

Overview

A motivated Data Scientist responsible for driving results through data-driven insights using advanced statistical and modeling techniques.

In Short

  • Ensure the integrity of project data through extraction, storage, manipulation, processing, and analysis.
  • Analyze data using standard statistical methods and provide summaries and recommendations.
  • Collaborate with cross-functional teams to enhance production pipeline efficiency.
  • Contribute in a dynamic, team-oriented environment that values perspective and encourages innovation.

Requirements

  • 2+ years of hands-on experience in data science, preferably in FinTech or financial services.
  • Advanced degree in Statistics, Mathematics, Data Science, or related field.
  • Proficiency in statistical modeling and data analysis using R or Python.
  • Experience with predictive models using statistical/machine learning techniques.
  • Ability to collaborate across departments to solve problems.
  • Self-starter mindset with strong organizational skills.
  • Proficiency with data visualization tools such as Power BI or Tableau is a plus.
  • Experience working in Databricks or similar environments is a plus.
  • Strong verbal and written communication skills.

Benefits

  • Opportunities for professional growth and development.
  • Dynamic and collaborative work environment.
  • Encouragement of innovative approaches to problem-solving.
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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