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 interpretation. Our Data Scientists collaborate with a team of other Data Scientists, economists, and other technology and product stakeholders.
Key Responsibilities:
- 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 customers
Key Qualifications:
- 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/machine learning. You have applied experience with statistics/machine learning. Python toolkits you may have used recently include statsmodels, scikit-learn, or tensorflow.
- You have demonstrated programming expertise with Python and SQL for ML techniques, including feature engineering/selection, model selection, model tuning, and performance measurement.
- 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
#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 .
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.
feature-engineering statistics SQL Data Science Python Machine Learning Performance measurement data-wrangling