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  • Senior Data Scientist Canada
  • HouseSigma in Canada, , Canada
  • jobs
  • 1 month ago

jobs description

Revolutionize the Real Estate Industry!

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

We are the second 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 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 data science and technology!

Responsibilities:
• Partner with product, operations, or brokerage operations teams to develop working mathematical, scientific, ML solutions to their problems.
• 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 or 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.
• Gain a deep understanding of our data through exploratory data analysis or communication with stakeholders.
• Able to communicate complex ideas logically and clearly, using data visualization with strong verbal and written communication.

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 analytics role, having solved real business problems with math, science and machine learning
• Experience with statistical concepts such as regression, properties of distribution, and statistical tests and their proper usage and application.
• Experience with regression and classification ML techniques, such as linear regression and tree-based algorithms including boosting, random forest, and decision trees.
• Experience with experiment design and A/B testing
• Experience with SQL and Python, along with some data, math, machine learning experience
• Experience with visualization frameworks such as Scikit-learn, SciPy, pandas, XGBoost, LightGBM, Catboost, Matplotlib, Seaborn etc.
• Preferred experience with NoSQL databases such as MongoDB
• Preferred experience with dashboard and visualization tools such as Data Studio and or Google Analytics 4
• Strong logical and critical thinking and verbal, written and visual communication skills

Join our team and help revolutionize the real estate industry with your data science and technology expertise.

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 include 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 highly competitive compensation and generous vacation time
• Continuous learning and growth culture with many opportunities to develop professionally

We are a remote-first company.

Full-time, permanent, remote position
Canada

salary-criteria

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