Job Category: Technology
Pay Grade Range: $60,840.00 – $141,960.00
Disclaimer: The base salary range represents the low and high end of Altus Group’s “Pay Grade Range” for this position in the primary work location. Actual hiring salaries will vary depending on factors including but not limited to work experience, and geographic market data for the role. The Pay Grade Range listed above does not reflect Altus Group’s total compensation for employees. Other rewards may include an annual bonus, flexible work arrangements, and region-specific benefits.
Unlock your Altus Experience!
If you’re looking to advance your career in data analytics, expertise, and technology for the rapidly growing global CRE market, there’s no better place than Altus Group. At Altus, our work is purposeful. Every day, our employees drive impact, innovate, and shape the global commercial real estate (CRE) and PropTech industry.
Our people-centric culture empowers you to deliver in a high trust, high performance culture, surrounded by an inclusive team that’s collaborating to modernize our industry. We invest in our people with training and growth opportunities designed to propel you further in your career while providing a flexible and progressive workplace that reflects our values and teams.
Job Summary:
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. As a Data Scientist, you will support the development of new analytics and data solutions through statistical modeling, feature engineering, machine learning and AI. Our Data Scientists collaborate with a team of other Data Scientists, economists, and other technology and product stakeholders.
Key Responsibilities:
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 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 Reporting: Communicating complex data science concepts and the value of analytical projects to non-technical stakeholders. Preparing and presenting reports, findings, and recommendations to senior management and other key stakeholders.
Translating and making decisions: 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.
Documenting best practices: 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.
Key Qualifications:
A collaborative communicator. You can work independently but enjoy collaborating with a broader team to share ideas, questions, and insights regarding data and different modeling approaches.
You want to succeed together. You recognize that collaborating with a team helps you scale the positive impact you can have for an organization.
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. You are familiar with (or can learn quickly) a range of statistical analysis and machine learning techniques, including hypothesis testing, linear/logistic regression, time series analysis, tree-based models, KNN, neural networks, clustering, and outlier/anomaly detection. Prior experience with NLP, transfer learning and Generative AI is a bonus.
Applied-first. You have demonstrated programming proficiency with Python for ML techniques, including feature engineering/selection, model selection, model tuning, and performance measurement.
2+ years of experience working in data science or applied economics, depending on academic background
Applied ML or econometrics experience with Python
BS or MS degree in Economics, Computer Science, Applied Mathematics, or a related technical field
Experience with commercial real estate a plus
#remote
What Altus Group offers:
Rewarding performance: We are pleased to be able to provide employees competitive compensation, incentive and bonus plans, and a total rewards package that prioritizes their mental, physical and overall financial health.
Growth and development: As a destination for top industry talent, we’re investing in you to meet the evolving needs of our clients and deliver on your professional goals. Our Altus Intelligence Academy offers over 150,000 hours of learning materials catering to diverse stages of an employee’s career journey.
Flexible work model: We’re modernizing our employee programs to reflect the new world of work. Our Activity-Based Work model provides you with flexibility to align your work location to the work being performed – office for connecting and collaborating, and remote for focused work.
Altus Group is committed to fostering an inclusive work environment where all clients and employees feel welcomed, accepted and valued. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Applicants with disabilities may contact Altus Group to request and arrange for accommodations. If you need accommodation, please contact us at or +1 888 692 7487.
We appreciate all applicants who take the time to apply to Altus Group. Please note that only those who are selected to move forward in the process will be contacted. Thank you.
Altus Group
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