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Data Scientist - Product Data Science - Remote

Posted Yesterday
Data Analysis
Full Time
USA

Overview

The Data Scientist position at Best Egg focuses on leveraging machine learning to enhance marketing strategies and customer engagement through data-driven insights.

In Short

  • Influence marketing outreach initiatives through robust machine learning models.
  • Take ownership of a library of machine learning tools.
  • Utilize diverse data sources to develop actionable outreach strategies.
  • Build end-to-end machine learning pipelines.
  • Collaborate with marketing stakeholders for optimal decision-making tools.
  • Leverage AI applications to enhance workflow.

Requirements

  • Master’s or PhD in quantitative fields (mathematics, statistics, data science).
  • 2+ years of experience with production ML/AI models.
  • Strong understanding of data science technical aspects.
  • Familiarity with AI tools (e.g., GPT, Claude).
  • Experience with deep learning and natural language processing is a plus.
  • Comfortable with cloud-based systems (AWS) and proficient in SQL and Python.

Benefits

  • Inclusive and diverse work culture.
  • Opportunities for growth and enrichment.
  • Collaborative work environment.
  • Focus on creative problem-solving.
  • Direct communication and no office politics.
Best Egg logo

Best Egg

Best Egg is a leading financial confidence platform dedicated to providing flexible solutions for individuals facing real-life financial challenges, particularly those with limited savings. By utilizing real-time customer insights and data science, Best Egg connects users with a diverse range of financial products, including personal loans, credit cards, and flexible rent options, all supported by financial health tools designed to empower customers in making informed financial decisions. The company fosters a culture of inclusiveness and diversity, encouraging creative problem-solving and collaboration among employees. Best Egg is committed to building a team that reflects a variety of backgrounds and perspectives, ensuring that the organization grows stronger through its commitment to diversity and equal opportunity.

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