Job Description

Job Category: Technology

Pay Range $49,335.00 - $115,115.00

Disclaimer: The base salary range represents the low and high end of the Altus Group\xe2\x80\x99s salary range for this position in the primary work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The pay range listed above does not reflect Altus Group\xe2\x80\x99s total compensation for employees. Other rewards may include an annual bonus, flexible work arrangements, and many region-specific benefits.

Opportunity Awaits at Altus Group!

Altus Group is seeking a Data Scientist to support Altus Labs, the firm\'s commercial real estate (CRE) hub for innovation, focused on applying new data, methodologies, and tech to drive better client investment and operating outcomes. The Data Scientist will support the development of new analytics and data solutions through statistical modeling, feature engineering, machine learning and interpretation, and will work with other Data Scientists and Economists in the broader Data & Analytics group.

Key Responsibilities:

Data Science

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:

Advanced analysis: Mining and analyzing data to build and improve analytics and existing CRE performance models.

Data science experimentation and testing: Data wrangling, data visualization, feature engineering, model selection, tuning, and maintenance/enhancement of CRE models and analytics.

Setting standards: Collaborating with other Data Scientists to implement processes and tools to monitor and analyze CRE model/analytics performance and accuracy. Work will involve evaluating the use of new internal and external data sets.

Communication and collaboration

The Data Scientist will also be responsible for:

Translating and summarizing data science experiments to make go/no-go recommendations on the use of new econometrics or ML techniques and new data sets.

Establishing new modeling approaches as part of the Data & Analytics team at Altus by sharing and documenting best practices based on solid statistical/econometric/ML principles.

Qualifications:

4+ years of experience working in an applied economist or data scientist position, depending on academic background

Applied ML or econometrics experience with Python or R

BS or MS degree in Economics, Computer Science, Applied Mathematics, or a related technical field

Experience with commercial real estate a plus

Who 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.

A scientist at heart. You are thoughtful and rigorous about modeling methodology and setting standards for exploration and experimentation. You creatively apply existing methodology to new analytical challenges and thrive on asking "What if?" questions.

Skilled in statistics/econometrics. You recognize that a simple approach can be the best approach, but also have applied experience with statistics/econometric modeling, perhaps with tools like Stata, R, or SPSS. Python toolkits you may have used recently include statsmodels, Prophet, or sktime.

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.

Come realize your potential at Altus Group!

Altus Group is committed to fostering an inclusive and accessible environment where employees feel valued and respected, and where every employee has the opportunity to realize their potential. We are committed to providing reasonable accommodations, if required, and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please contact us at accessibility@altusgroup.com or 416-641-9500.

Altus Group