Portfolio Jobs

Search open roles at our #staymagical portfolio companies

Data Scientist

Reonomy

Reonomy

Data Science
Multiple locations
Posted on Saturday, July 1, 2023

Job Category:

Technology

Pay Grade Range:

$49,335.00 - $115,115.00

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.

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:

  • 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.

  • 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.

Key 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

  • 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.

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 provide an atmosphere free from barriers to promote diversity, equity, and inclusion, and encourage equal opportunities for all employees. We’re seeking candidates with diverse experiences and provide accessible candidate experiences throughout the selection process. If you need accommodation,

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.