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Data Scientist (Remote)

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Altus Group

11d ago

  • Job
    Full-time
    Junior Level
  • Data
    Software Engineering
  • Houston
    Remote

AI generated summary

  • You should be a collaborative communicator with 2+ years in data science, skilled in statistics and Python, with experience in ML techniques. A relevant degree is essential; real estate knowledge is a plus.
  • You will analyze data to enhance CRE models, conduct experiments, collaborate on standards, communicate findings, make data-driven recommendations, and document best practices in analytics.

Requirements

  • 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

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.

FAQs

Do we support remote work?

Yes, we offer a flexible work model, allowing for remote work as well as in-office collaboration based on the nature of the work being performed.

What is the salary range for this position?

The salary range for the Data Scientist position is between $60,840.00 and $141,960.00, depending on factors such as work experience and geographic market data.

What qualifications are needed for this role?

Candidates should have a BS or MS degree in Economics, Computer Science, Applied Mathematics, or a related technical field, along with 2+ years of experience in data science or applied economics, and applied machine learning or econometrics experience with Python.

Is experience in commercial real estate necessary for this position?

While experience in commercial real estate is a plus, it is not explicitly required for the Data Scientist role.

What opportunities for growth does Altus Group offer?

Altus Group invests in employee development through the Altus Intelligence Academy, which provides over 150,000 hours of learning materials to support diverse career stages.

What kind of projects will I work on as a Data Scientist?

You will work on building and improving analytics and existing CRE performance models through advanced analysis, statistical modeling, feature engineering, machine learning, and AI.

How does Altus Group support work-life balance?

Altus Group prioritizes employee well-being by offering flexible work arrangements and a total rewards package that focuses on mental, physical, and financial health.

Will I be required to present findings to senior management?

Yes, part of your responsibilities will include preparing and presenting reports, findings, and recommendations to senior management and other key stakeholders.

Does Altus Group promote an inclusive work environment?

Yes, Altus Group is committed to fostering an inclusive work environment where all employees and clients feel welcomed, accepted, and valued.

How can applicants with disabilities request accommodations?

Applicants with disabilities may contact Altus Group at accessibilityusa@altusgroup.com or +1 888 692 7487 to request and arrange for accommodations.

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Altus Group

A market leading Intelligence as a Service provider to the global commercial real estate industry.

Real Estate
Industry
1001-5000
Employees
2005
Founded Year

Mission & Purpose

Altus Group is a leading provider of asset and fund intelligence for commercial real estate. We deliver intelligence as a service to our global client base through a connected platform of industry-leading technology, advanced analytics, and advisory services. Trusted by the largest CRE leaders, our capabilities help commercial real estate investors, developers, proprietors, lenders, and advisors manage risks and improve performance returns throughout the asset and fund lifecycle. Altus Group is a global company headquartered in Toronto with approximately 2,800 employees across North America, EMEA and Asia Pacific.