Data Scientist

7 days ago

Toronto, Canada Altus Group Full time

Job Category:
Software

Opportunity Awaits at Altus Group
- Summary
- The Data Scientist will work as part of the Altus Group R&D organization to build data science and machine learning solutions for commercial real estate (CRE). At Altus Group, Data Scientists have access to unique talent and data to build new models as part of a growing team. Data and analytics will help to shape the future of property technology and commercial real estate. Data Scientists collaborate with engineers and data architects to integrate their models into pipelines for internal and client consumption. Successful Data Scientists build analytics and machine learning solutions that create outsized investment performance for CRE clients.

Key Responsibilities:

- The Data Scientist will be part of a team dedicated to rapid iteration on a vast set of CRE and other economic/demographic data sets. Responsibilities will include:
- As part of a data team, design, build and improve Altus Group data science and machine learning models-
- Collaborate with R&D resources to define and scope data science solutions-
- Manipulate and clean data (exploratory data analysis), build new features (feature engineering), perform feature selection and model selection, and implement production-ready models-
- Participate in model and code reviews and contribute to a team consistently shipping new or updated analytics solutions-
- Define and implement metrics that will track model performance over time to identify risks and opportunities-
- Communicate results and insights from data science initiatives to stakeholders and other internal/external users and customersWho you are:
- A collaborative communicator. You are able to work independently but enjoy collaborating with a broader team to share ideas, questions, and insights regarding data and the use of different modeling approaches.Skilled in statistics/machine learning. You have applied experience with statistics/machine learning. Python toolkits you may have used recently include statsmodels, scikit-learn, or tensorflow.-
- Applied-first. You have demonstrated programming expertise with Python and SQL for ML techniques, including feature engineering/selection, model selection, model tuning, and performance measurement.Other background:
- 2+ years of experience working in an applied data or analytics position, depending on academic background-
- Demonstrated accomplishments in data science or analytics, including:- Data wrangling: transformation and cleaning-
- Feature engineering-
- Statistical or ML model implementation-
- Experience with data engineering and/or collaborating with data engineers-
- BS or MS degree in Statistics, Data Science, Economics, Computer Science, or a related technical field-
- Experience with commercial real estate a plus- Come realize your potential at Altus Group_

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