Data Scientist
Altus Group

New York, New York

This job has expired.


Job Category:
Software

Opportunity Awaits at Altus Group!

The next stage in PropTech solutions: Unlocking the value of data and predictive analytics

Altus Group is embarking on the next evolution of data, software and technology-enabled services delivered through cloud-native architecture. As pioneers in the Proptech and real estate analytics spaces, we are growing our offerings to enable our global clients to unlock the value of data and leverage predictive analytics for better decision-making. Building on established market-leading software and incorporating new connected technologies, we are embarking on a transition of our product-focused architecture to a platform of connected capabilities to serve the real estate investment industry.

The opportunity

The Data Scientist will work as part of the Development organization to build data science and machine learning solutions for commercial real estate (CRE). At Reonomy and Altus Group, Data Scientists have access to unique talent and data to build new models as part of a growing team. Data Scientists collaborate with engineers and data architects to integrate their models into pipelines for internal and client consumption. In this role, you will work as part of the cross-functional team to build and embed analytics, Machine Learning and AI to better serve our customers with the information that will change the way they do business

Who you are

You are a business-minded Data Scientist with an extensive technical toolkit and a couple of years of experience working with real-life data (co-op, internships, or work-study experience is acceptable). Ideally, you have startup experience and you thrive in an ambiguous environment, building the infrastructure as you need it. You have exceptional communication skills with an ability to ask questions, probe further, and present insights clearly in non-technical language.

What's in it for you?

Expanding the Reonomy Knowledge Graph to build property, market, and portfolio intelligence for CRE

Build analytics and machine learning solutions that create outsized investment performance for CRE clients (e.g., rent and income modeling, explainable predictions of returns)

Unparalleled exposure and impact. You will work alongside development, architecture, and product teams who are at the top of their game, solving problems that have never been looked at before. As part of a platform team specifically assembled to collaborate on new work, you will have the freedom to create from the ground up, and work unrestricted accessing the information, tools, and technology you need. This is an opportunity to make your mark and truly accomplish something exciting as we focus on defining and driving our data and SaaS strategy.

Growth and career development. Altus fosters a culture of professional development and promotion from within. With retention rates double the tech industry average, and dozens of promotions within and across teams, this is a place to truly expand your skills and grow your exposure. As we move from building to scaling; from platform to product; and from storage to application, the opportunities to grow your skills, gain exposure, try new things, and make an impact will grow too.

Our new Data Scientists will:

  • As part of a data team, design, build and improve Reonomy and Altus Group data science and machine learning models
  • Collaborate with development resources to define and scope data science solutions
  • Build new features, perform feature selection and model choice, 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

Our new Data Scientists will have:
  • 2-5 years of combined education and experience in a Data Science capacity
  • You have a bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Engineering, or Computer Science, or a related technical field and applied work experience designing, building, and maintaining data processing systems, data models, and data lakes
  • Demonstrated work experience with data transformation and cleaning, feature building, model implementation, and model performance evaluation
  • Ability to write clean, well-organized Python code that will integrate easily into the production pipeline
  • Advanced knowledge in SQL and strong data analysis skills; including collecting, analyzing, interpreting, and presenting data
  • Ability to build successful ML projects with a strong engineering focus
  • Preferably experience with distributed computing: PySpark and/or Scala
  • A commitment to collaboration. You thrive working across inter-disciplinary groups, including architects, developers, product, and management, to build great products
  • Excellent communication skills with a knack for communicating findings to technical and non-technical audiences
  • A detail-oriented mind with inclination for investigative data work

Salary Range:

$ 100,000 - $140,000 for New York City

Come realize your potential at Altus Group!

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 assistance to accommodate a disability, you may request an accommodation at any time. Please contact us at accessibilityusa@altusgroup.com or . (416) 641-9500


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