Applied Scientist- Pricing

Opendoor

Quick summary

Work type
On-site
Location
Toronto, Canada
Posted
33 days ago
Nearby
74 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $177k
$121k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $137,979–$216,262.

Based on 240 similar postings.

Employer

About Opendoor

Opendoor is a digital real estate marketplace that buys and sells homes directly to consumers, simplifying the home selling and buying experience through instant offers and transparent pricing. Industry: Real Estate Technology & iBuying

Opendoor currently has 42 open roles on FindRole.

Listed pay typically runs $156,800–$335,000 across 8 roles with salary data.

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At a glance

TL;DR · Applied Scientist- Pricing

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As an Applied Scientist specializing in Pricing at a leading tech company based in Toronto, you will join a dynamic research and development team focused on advancing pricing strategies for real estate transactions. Your primary responsibilities include developing sophisticated algorithms and models that optimize home valuations and pricing to enhance customer satisfaction and market competitiveness. You will collaborate closely with data scientists and engineers to integrate machine learning techniques into our product offerings, ensuring scalability and robustness across a large dataset of property listings. Ideal candidates possess expertise in statistical modeling, Python or R programming, and experience with cloud platforms like AWS or Azure. Familiarity with real estate markets is beneficial but not required, as you will work on cutting-edge solutions to streamline the home buying and selling process.

Skills

Python SQL Machine Learning AWS CI/CD Scalability Data Analysis Pricing Models Cloud Computing Docker Kubernetes

What you'll do

  • Develop and implement advanced pricing models using machine learning techniques.
  • Analyze market trends and data to optimize property valuation algorithms.
  • Collaborate on research projects to enhance automated home evaluation systems.
  • Conduct experiments to evaluate the impact of pricing strategies on sales performance.
  • Stay updated with industry trends and technological advancements in real estate.

What we're looking for

  • PhD in Computer Science, Economics, or a related field.
  • Strong background in machine learning and statistical modeling techniques.
  • Experience with pricing models and market analysis.
  • Proficiency in programming languages such as Python or R.
  • Ability to conduct independent research and collaborate effectively.
  • Knowledge of real estate markets and economic principles beneficial.

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