Are you a passionate and experienced Senior Machine Learning Engineer who loves tackling complex challenges and thrives in a dynamic start-up environment? If so, we want to hear from you!

We are the highest rated app in the house category on Playstore and a trailblazing 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!

At our company, we embrace the start-up culture and value the impact of your work over the number of hours you put in. We prioritize freedom and autonomy, offering remote work options and flexible work hours.We want to meet you if you are passionate about machine learning and technology!

Responsibilities:

Partner with product, operations, or brokerage operations teams to develop working mathematical/scientific/ML solutions to their problems.
Gain deep understanding of the problem and our data through either exploratory data analysis or communication with stakeholders
Prove the solution by designing experiments that can be validated offline and/or online (A/B testing, etc.)
Some potential problems that need to be solved are:
Intelligent buyer/seller + real estate agent matching algorithm
Predicting user intent, such as intent to buy or sell
Various real estate predictions, such as, housing sale price, square footage, property tax, etc..
With the aid of your manager, plan launch phases of solutions, judging each phase by its effort vs impact.
Able to communicate complex ideas logically and clearly, using data visualization, verbal, and/or oral communications

Experience and qualifications:

Masters or Ph.D. in math, science, engineering, statistics, or other quantitative fields
3+ years of professional experience in a data scientist/data analytic role having solved real business problems with math/science/ML
Experienced with statistical concepts such as regression, properties of distribution, statistical tests and their proper usage and application.
Experienced with regression/classification ML techniques, such as linear regression and tree-based algorithms (boosting, random forest, decision trees).
Experienced with experiment design and A/B testing
Experienced with SQL and Python, along with some data/math/ML/visualization frameworks such as sklearn, scipy, pandas, xgb/lgb/catboost, matplotlib/seaborn, etc..
Preferred experience with NoSql databases such as Mongodb
Preferred experience with dashboard/visualization tools such as data studio and/or google analytics 4
Strong logical/critical thinking and verbal/written/visual communication skills

Join our team and help revolutionize the real estate industry with your expertise in machine learning. We offer a competitive salary, excellent benefits, and a collaborative work environment that fosters professional growth. Apply today and make a real impact on the future of PropTech!

What you can expect from us

Benefits including health, dental, life, virtual health care and travel coverage
A chance to work towards an amazing mission of helping real estate investors, home buyers and sellers across Canada
Remote-friendly work environment: the ability to work from anywhere in Canada
We offer a highly competitive compensation package and generous vacation time
Continuous learning and growth culture with many opportunities to develop professionally

We are a remote-first company.

This is a full time, permanent, remote position.