Data Science Expert

7 days ago


Canada HouseSigma Full time
Transforming the Real Estate Industry with Machine Learning

We are a pioneering technology platform harnessing the power of artificial intelligence to accurately estimate Canadian home values in real-time.

As a rapidly growing platform, we currently boast an impressive 2 million monthly users and continue to expand rapidly. With a single click, our users can obtain precise automated home valuations for any listing in just seconds.

The HouseSigma algorithm even identifies comparable nearby sold properties, empowering buyers to make informed decisions on their final offer price.

We prioritize freedom and autonomy, offering remote work options and flexible work hours.

About This Role

We are seeking a skilled Data Science Expert to join our team. As a Data Science Expert, you will be responsible for developing mathematical/scientific/ML solutions to business problems.

You will partner with product, operations, or brokerage operations teams to develop working solutions, gain deep understanding of the problem through exploratory data analysis or communication with stakeholders, and prove the solution by designing experiments that can be validated offline and/or online.

This role is ideal for someone with a passion for machine learning and technology.

Responsibilities
  • Partner with cross-functional teams to develop working mathematical/scientific/ML solutions to business problems.
  • Gain deep understanding of the problem and our data through exploratory data analysis or communication with stakeholders.
  • Prove the solution by designing experiments that can be validated offline and/or online.
Requirements

To be successful in this role, you will need:

  • Masters or Ph.D. in math, science, engineering, statistics, or other quantitative fields.
  • 4+ years of professional experience in a data scientist/data analytic role, having solved real business problems with math/science/ML.
  • Experience with statistical concepts such as regression, properties of distribution, statistical tests and their proper usage and application.
  • Experience with regression/classification ML techniques, such as linear regression and tree-based algorithms (boosting, random forest, decision trees).
  • Experience with experiment design and A/B testing.
  • Experience with SQL and Python, along with some data/math/ML/visualization frameworks such as sklearn, scipy, pandas, xgb/lgb/catboost, matplotlib/seaborn, etc..
What We Offer
  • A competitive salary: CAD $140,000 per year.
  • Excellent benefits package.
  • Remote-friendly work environment.
  • Opportunities for growth and development.


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