Data Scientist (Remote)

Altus Group; Toronto; Remote; CAD 49,000 - 116,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen Data Scientist, um die Entwicklung neuer Datenanalysen und -lösungen voranzutreiben. In dieser spannenden Rolle arbeiten Sie eng mit einem Team von Fachleuten zusammen, um statistische Modelle und maschinelles Lernen anzuwenden, um bessere Ergebnisse für Kunden im Bereich der gewerblichen Immobilien zu erzielen. Sie werden die Möglichkeit haben, Ihre Fähigkeiten in einem dynamischen Umfeld zu erweitern, während Sie an bedeutenden Projekten arbeiten, die die Branche modernisieren. Wenn Sie leidenschaftlich an Datenanalytik interessiert sind und in einem unterstützenden Team arbeiten möchten, ist dies die ideale Gelegenheit für Sie.

Benefits

Wettbewerbsfähige Vergütung

Jährliche Boni

Flexible Arbeitszeiten

Zugang zu Schulungsmaterialien

Inklusive Arbeitsumgebung

Qualifications

• 2+ Jahre Erfahrung in der Datenwissenschaft oder angewandter Ökonomie.
• Starke Kenntnisse in Statistik und Datenanalyse.

Responsibilities

• Datenaufbereitung und Feature Engineering zur Analyse.
• Entwicklung und Validierung von Modellen zur Entscheidungsfindung.

Skills

Statistik

SQL

Python

Datenanalyse

Maschinelles Lernen

Datenaufbereitung

Feature Engineering

Datenvisualisierung

Education

BS oder MS in Wirtschaft

BS oder MS in Informatik

BS oder MS in Angewandte Mathematik

Tools

GitHub

Databricks

Job description

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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.

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

• Data wrangling and feature engineering: Ideate and evaluate potential features and then apply data cleaning and transformation to organize messy raw data into usable features for analysis.
• Data-driven planning and modeling: Work with key stakeholders to validate the key assumptions supported by data insights and quantify the risks and impact to make smart decisions about features, transformations, and models.
• Rapid prototyping: Leverage innovative tools or approaches to quickly prototype what the success of the product could look like against the success criteria and iteratively review with key stakeholders for feedback which will then inform the next iterations.
• Data science experimentation and testing: Exploratory data analysis, feature selection, model selection, hyperparameter tuning, model evaluation, model validation and monitoring.
• Setting standards: Collaborate with other Data Scientists, Machine Learning Engineers, Operations Managers, and other stakeholders to explore and implement processes and tools to improve data science quality and efficiency.
• Ideation and brainstorming discussion: Show curiosity, ask discovery questions, avoid premature conclusions, flag risks and concerns at early stages, and facilitate trade-off or prioritization discussions.
• Communication and reporting: Translating and communicating complex data science concepts and the value of analytical projects to non-technical stakeholders. Creating lightweight prototype demos, preparing and presenting reports, findings, and recommendations to senior management and other key stakeholders to support go/no-go recommendations.
• Documenting best practices: Establishing new modeling approaches, pipelines and infrastructure 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 who can work independently and within a team to share insights and model approaches.
• Passionate about succeeding together and scaling your impact through collaboration.
• A scientist at heart—methodical, curious, and driven by thoughtful experimentation.
• Strong background in statistics/econometrics with familiarity in hypothesis testing, regression models, time series analysis, tree-based models, clustering, anomaly detection, etc. (Bonus: experience in NLP, transfer learning, or Generative AI.)
• Programming proficiency in SQL and Python with experience across the model lifecycle: data ETL, feature engineering, model tuning, evaluation, and deployment.
• Comfortable brainstorming, receiving feedback, and iterating on solutions with a growth mindset.
• 2+ years of experience in data science or applied economics, depending on academic background.
• BS or MS degree in Economics, Computer Science, Applied Mathematics, or a related technical field.
• Experience with GitHub, version control, and collaborative coding workflows.
• Skilled at writing clean, efficient, and maintainable code with attention to performance and cost.
• Experience working in cloud environments and handling large, complex datasets.
• Prior experience with Databricks (Catalog, Workflows, Experiments, Materialized Views) is a plus.
• Commercial real estate experience is a plus.
  
  

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, please contact us at [e-mail] or [phone].

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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