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Lead Engineer Data Science - US Based Remote

Posted 22 weeks ago
Data Analysis
Full Time
United States

Overview

As a Lead Engineer in Data Science at Anywhere Real Estate, you will work closely with business partners to solve complex problems using data-driven approaches. You will lead projects, mentor junior data scientists, and ensure the successful deployment of machine learning models in production environments to enhance business decision-making.

In Short

  • Collaborate with business stakeholders to understand their needs.
  • Identify and utilize appropriate data sources.
  • Develop and implement machine learning models using Python.
  • Create visualizations to communicate insights.
  • Mentor and coach junior data scientists.
  • Stay open to innovative ideas.
  • Support strategic initiatives including the use of generative AI.

Requirements

  • Master’s degree or higher in a related analytical discipline.
  • Minimum of 5 years of experience in building end-to-end models in Python.
  • At least 2 years of experience leading projects.
  • Proficiency in SQL and Python programming languages.
  • Strong understanding of statistical methods and machine learning algorithms.
  • Expertise in techniques such as Linear Regression, GLM, Random Forest, GBM, XGBoost.

Benefits

  • Opportunity to work on innovative projects.
  • Mentorship opportunities.
  • Flexible work environment.
  • Engagement with strategic initiatives.
Anywhere logo

Anywhere

Anywhere is at the forefront of transforming the real estate industry through innovative technology solutions. We are dedicated to building a next-generation Enterprise Analytics Platform that empowers agents, brokers, home buyers, and sellers with robust data tools. Our collaborative environment fosters creativity and motivation, making us a perfect place for talented engineers who are passionate about programming and data. With a focus on quality and scalability, Anywhere is committed to delivering high-performance data solutions that enhance the real estate experience.

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